2014-04-21 16:08:50 +08:00
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//===- PassRegistry.def - Registry of passes --------------------*- C++ -*-===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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//
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// This file is used as the registry of passes that are part of the core LLVM
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// libraries. This file describes both transformation passes and analyses
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// Analyses are registered while transformation passes have names registered
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// that can be used when providing a textual pass pipeline.
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//
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//===----------------------------------------------------------------------===//
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// NOTE: NO INCLUDE GUARD DESIRED!
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2014-04-21 16:20:10 +08:00
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#ifndef MODULE_ANALYSIS
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#define MODULE_ANALYSIS(NAME, CREATE_PASS)
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#endif
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MODULE_ANALYSIS("lcg", LazyCallGraphAnalysis())
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2015-01-06 10:50:06 +08:00
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MODULE_ANALYSIS("no-op-module", NoOpModuleAnalysis())
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2015-01-15 19:39:46 +08:00
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MODULE_ANALYSIS("targetlibinfo", TargetLibraryAnalysis())
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2014-04-21 16:20:10 +08:00
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#undef MODULE_ANALYSIS
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2014-04-21 16:08:50 +08:00
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#ifndef MODULE_PASS
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#define MODULE_PASS(NAME, CREATE_PASS)
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#endif
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2015-12-27 16:13:45 +08:00
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MODULE_PASS("forceattrs", ForceFunctionAttrsPass())
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2015-12-27 16:41:34 +08:00
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MODULE_PASS("inferattrs", InferFunctionAttrsPass())
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2015-01-06 17:06:35 +08:00
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MODULE_PASS("invalidate<all>", InvalidateAllAnalysesPass())
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2015-01-06 10:37:55 +08:00
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MODULE_PASS("no-op-module", NoOpModulePass())
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2014-04-21 16:08:50 +08:00
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MODULE_PASS("print", PrintModulePass(dbgs()))
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MODULE_PASS("print-cg", LazyCallGraphPrinterPass(dbgs()))
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2015-10-31 07:28:12 +08:00
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MODULE_PASS("strip-dead-prototypes", StripDeadPrototypesPass())
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2015-01-05 08:08:53 +08:00
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MODULE_PASS("verify", VerifierPass())
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2014-04-21 16:08:50 +08:00
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#undef MODULE_PASS
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2014-04-21 19:12:00 +08:00
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#ifndef CGSCC_ANALYSIS
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#define CGSCC_ANALYSIS(NAME, CREATE_PASS)
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#endif
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2015-01-06 10:50:06 +08:00
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CGSCC_ANALYSIS("no-op-cgscc", NoOpCGSCCAnalysis())
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2014-04-21 19:12:00 +08:00
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#undef CGSCC_ANALYSIS
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#ifndef CGSCC_PASS
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#define CGSCC_PASS(NAME, CREATE_PASS)
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#endif
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2015-01-06 17:06:35 +08:00
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CGSCC_PASS("invalidate<all>", InvalidateAllAnalysesPass())
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2016-02-18 19:03:11 +08:00
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CGSCC_PASS("function-attrs", PostOrderFunctionAttrsPass())
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2015-01-06 10:37:55 +08:00
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CGSCC_PASS("no-op-cgscc", NoOpCGSCCPass())
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2014-04-21 19:12:00 +08:00
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#undef CGSCC_PASS
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2014-04-21 16:20:10 +08:00
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#ifndef FUNCTION_ANALYSIS
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#define FUNCTION_ANALYSIS(NAME, CREATE_PASS)
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#endif
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2016-02-14 07:32:00 +08:00
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FUNCTION_ANALYSIS("aa", AAManager())
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2015-01-23 05:53:09 +08:00
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FUNCTION_ANALYSIS("assumptions", AssumptionAnalysis())
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2015-01-14 18:19:28 +08:00
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FUNCTION_ANALYSIS("domtree", DominatorTreeAnalysis())
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2015-01-20 18:58:50 +08:00
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FUNCTION_ANALYSIS("loops", LoopAnalysis())
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2015-01-06 10:50:06 +08:00
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FUNCTION_ANALYSIS("no-op-function", NoOpFunctionAnalysis())
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[PM] Port ScalarEvolution to the new pass manager.
This change makes ScalarEvolution a stand-alone object and just produces
one from a pass as needed. Making this work well requires making the
object movable, using references instead of overwritten pointers in
a number of places, and other refactorings.
I've also wired it up to the new pass manager and added a RUN line to
a test to exercise it under the new pass manager. This includes basic
printing support much like with other analyses.
But there is a big and somewhat scary change here. Prior to this patch
ScalarEvolution was never *actually* invalidated!!! Re-running the pass
just re-wired up the various other analyses and didn't remove any of the
existing entries in the SCEV caches or clear out anything at all. This
might seem OK as everything in SCEV that can uses ValueHandles to track
updates to the values that serve as SCEV keys. However, this still means
that as we ran SCEV over each function in the module, we kept
accumulating more and more SCEVs into the cache. At the end, we would
have a SCEV cache with every value that we ever needed a SCEV for in the
entire module!!! Yowzers. The releaseMemory routine would dump all of
this, but that isn't realy called during normal runs of the pipeline as
far as I can see.
To make matters worse, there *is* actually a key that we don't update
with value handles -- there is a map keyed off of Loop*s. Because
LoopInfo *does* release its memory from run to run, it is entirely
possible to run SCEV over one function, then over another function, and
then lookup a Loop* from the second function but find an entry inserted
for the first function! Ouch.
To make matters still worse, there are plenty of updates that *don't*
trip a value handle. It seems incredibly unlikely that today GVN or
another pass that invalidates SCEV can update values in *just* such
a way that a subsequent run of SCEV will incorrectly find lookups in
a cache, but it is theoretically possible and would be a nightmare to
debug.
With this refactoring, I've fixed all this by actually destroying and
recreating the ScalarEvolution object from run to run. Technically, this
could increase the amount of malloc traffic we see, but then again it is
also technically correct. ;] I don't actually think we're suffering from
tons of malloc traffic from SCEV because if we were, the fact that we
never clear the memory would seem more likely to have come up as an
actual problem before now. So, I've made the simple fix here. If in fact
there are serious issues with too much allocation and deallocation,
I can work on a clever fix that preserves the allocations (while
clearing the data) between each run, but I'd prefer to do that kind of
optimization with a test case / benchmark that shows why we need such
cleverness (and that can test that we actually make it faster). It's
possible that this will make some things faster by making the SCEV
caches have higher locality (due to being significantly smaller) so
until there is a clear benchmark, I think the simple change is best.
Differential Revision: http://reviews.llvm.org/D12063
llvm-svn: 245193
2015-08-17 10:08:17 +08:00
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FUNCTION_ANALYSIS("scalar-evolution", ScalarEvolutionAnalysis())
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[PM] Rework how the TargetLibraryInfo pass integrates with the new pass
manager to support the actual uses of it. =]
When I ported instcombine to the new pass manager I discover that it
didn't work because TLI wasn't available in the right places. This is
a somewhat surprising and/or subtle aspect of the new pass manager
design that came up before but I think is useful to be reminded of:
While the new pass manager *allows* a function pass to query a module
analysis, it requires that the module analysis is already run and cached
prior to the function pass manager starting up, possibly with
a 'require<foo>' style utility in the pass pipeline. This is an
intentional hurdle because using a module analysis from a function pass
*requires* that the module analysis is run prior to entering the
function pass manager. Otherwise the other functions in the module could
be in who-knows-what state, etc.
A somewhat surprising consequence of this design decision (at least to
me) is that you have to design a function pass that leverages
a module analysis to do so as an optional feature. Even if that means
your function pass does no work in the absence of the module analysis,
you have to handle that possibility and remain conservatively correct.
This is a natural consequence of things being able to invalidate the
module analysis and us being unable to re-run it. And it's a generally
good thing because it lets us reorder passes arbitrarily without
breaking correctness, etc.
This ends up causing problems in one case. What if we have a module
analysis that is *definitionally* impossible to invalidate. In the
places this might come up, the analysis is usually also definitionally
trivial to run even while other transformation passes run on the module,
regardless of the state of anything. And so, it follows that it is
natural to have a hard requirement on such analyses from a function
pass.
It turns out, that TargetLibraryInfo is just such an analysis, and
InstCombine has a hard requirement on it.
The approach I've taken here is to produce an analysis that models this
flexibility by making it both a module and a function analysis. This
exposes the fact that it is in fact safe to compute at any point. We can
even make it a valid CGSCC analysis at some point if that is useful.
However, we don't want to have a copy of the actual target library info
state for each function! This state is specific to the triple. The
somewhat direct and blunt approach here is to turn TLI into a pimpl,
with the state and mutators in the implementation class and the query
routines primarily in the wrapper. Then the analysis can lazily
construct and cache the implementations, keyed on the triple, and
on-demand produce wrappers of them for each function.
One minor annoyance is that we will end up with a wrapper for each
function in the module. While this is a bit wasteful (one pointer per
function) it seems tolerable. And it has the advantage of ensuring that
we pay the absolute minimum synchronization cost to access this
information should we end up with a nice parallel function pass manager
in the future. We could look into trying to mark when analysis results
are especially cheap to recompute and more eagerly GC-ing the cached
results, or we could look at supporting a variant of analyses whose
results are specifically *not* cached and expected to just be used and
discarded by the consumer. Either way, these seem like incremental
enhancements that should happen when we start profiling the memory and
CPU usage of the new pass manager and not before.
The other minor annoyance is that if we end up using the TLI in both
a module pass and a function pass, those will be produced by two
separate analyses, and thus will point to separate copies of the
implementation state. While a minor issue, I dislike this and would like
to find a way to cleanly allow a single analysis instance to be used
across multiple IR unit managers. But I don't have a good solution to
this today, and I don't want to hold up all of the work waiting to come
up with one. This too seems like a reasonable thing to incrementally
improve later.
llvm-svn: 226981
2015-01-24 10:06:09 +08:00
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FUNCTION_ANALYSIS("targetlibinfo", TargetLibraryAnalysis())
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2015-02-01 18:11:22 +08:00
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FUNCTION_ANALYSIS("targetir",
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TM ? TM->getTargetIRAnalysis() : TargetIRAnalysis())
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2016-02-18 17:45:17 +08:00
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#ifndef FUNCTION_ALIAS_ANALYSIS
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#define FUNCTION_ALIAS_ANALYSIS(NAME, CREATE_PASS) \
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FUNCTION_ANALYSIS(NAME, CREATE_PASS)
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#endif
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FUNCTION_ALIAS_ANALYSIS("basic-aa", BasicAA())
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#undef FUNCTION_ALIAS_ANALYSIS
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2014-04-21 16:20:10 +08:00
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#undef FUNCTION_ANALYSIS
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2014-04-21 16:08:50 +08:00
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#ifndef FUNCTION_PASS
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#define FUNCTION_PASS(NAME, CREATE_PASS)
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#endif
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2015-10-31 07:13:18 +08:00
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FUNCTION_PASS("adce", ADCEPass())
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2015-02-01 18:51:23 +08:00
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FUNCTION_PASS("early-cse", EarlyCSEPass())
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2015-01-24 12:19:17 +08:00
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FUNCTION_PASS("instcombine", InstCombinePass())
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2015-01-06 17:06:35 +08:00
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FUNCTION_PASS("invalidate<all>", InvalidateAllAnalysesPass())
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2015-01-06 10:37:55 +08:00
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FUNCTION_PASS("no-op-function", NoOpFunctionPass())
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2015-01-24 19:13:02 +08:00
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FUNCTION_PASS("lower-expect", LowerExpectIntrinsicPass())
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2014-04-21 16:08:50 +08:00
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FUNCTION_PASS("print", PrintFunctionPass(dbgs()))
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2015-01-23 05:53:09 +08:00
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FUNCTION_PASS("print<assumptions>", AssumptionPrinterPass(dbgs()))
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2015-01-14 18:19:28 +08:00
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FUNCTION_PASS("print<domtree>", DominatorTreePrinterPass(dbgs()))
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2015-01-20 18:58:50 +08:00
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FUNCTION_PASS("print<loops>", LoopPrinterPass(dbgs()))
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[PM] Port ScalarEvolution to the new pass manager.
This change makes ScalarEvolution a stand-alone object and just produces
one from a pass as needed. Making this work well requires making the
object movable, using references instead of overwritten pointers in
a number of places, and other refactorings.
I've also wired it up to the new pass manager and added a RUN line to
a test to exercise it under the new pass manager. This includes basic
printing support much like with other analyses.
But there is a big and somewhat scary change here. Prior to this patch
ScalarEvolution was never *actually* invalidated!!! Re-running the pass
just re-wired up the various other analyses and didn't remove any of the
existing entries in the SCEV caches or clear out anything at all. This
might seem OK as everything in SCEV that can uses ValueHandles to track
updates to the values that serve as SCEV keys. However, this still means
that as we ran SCEV over each function in the module, we kept
accumulating more and more SCEVs into the cache. At the end, we would
have a SCEV cache with every value that we ever needed a SCEV for in the
entire module!!! Yowzers. The releaseMemory routine would dump all of
this, but that isn't realy called during normal runs of the pipeline as
far as I can see.
To make matters worse, there *is* actually a key that we don't update
with value handles -- there is a map keyed off of Loop*s. Because
LoopInfo *does* release its memory from run to run, it is entirely
possible to run SCEV over one function, then over another function, and
then lookup a Loop* from the second function but find an entry inserted
for the first function! Ouch.
To make matters still worse, there are plenty of updates that *don't*
trip a value handle. It seems incredibly unlikely that today GVN or
another pass that invalidates SCEV can update values in *just* such
a way that a subsequent run of SCEV will incorrectly find lookups in
a cache, but it is theoretically possible and would be a nightmare to
debug.
With this refactoring, I've fixed all this by actually destroying and
recreating the ScalarEvolution object from run to run. Technically, this
could increase the amount of malloc traffic we see, but then again it is
also technically correct. ;] I don't actually think we're suffering from
tons of malloc traffic from SCEV because if we were, the fact that we
never clear the memory would seem more likely to have come up as an
actual problem before now. So, I've made the simple fix here. If in fact
there are serious issues with too much allocation and deallocation,
I can work on a clever fix that preserves the allocations (while
clearing the data) between each run, but I'd prefer to do that kind of
optimization with a test case / benchmark that shows why we need such
cleverness (and that can test that we actually make it faster). It's
possible that this will make some things faster by making the SCEV
caches have higher locality (due to being significantly smaller) so
until there is a clear benchmark, I think the simple change is best.
Differential Revision: http://reviews.llvm.org/D12063
llvm-svn: 245193
2015-08-17 10:08:17 +08:00
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FUNCTION_PASS("print<scalar-evolution>", ScalarEvolutionPrinterPass(dbgs()))
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2015-02-01 19:34:21 +08:00
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FUNCTION_PASS("simplify-cfg", SimplifyCFGPass())
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2015-09-12 17:09:14 +08:00
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FUNCTION_PASS("sroa", SROA())
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2015-01-05 08:08:53 +08:00
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FUNCTION_PASS("verify", VerifierPass())
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2015-01-14 18:19:28 +08:00
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FUNCTION_PASS("verify<domtree>", DominatorTreeVerifierPass())
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2014-04-21 16:08:50 +08:00
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#undef FUNCTION_PASS
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