[LoopUnroll] Implement profile-based loop peeling

[mkuper]

Summary

This implements profile-based loop peeling.

The basic idea is that when the average dynamic trip-count of a loop is known, based on PGO, to be low, we can expect a performance win by peeling off the first several iterations of that loop. Unlike unrolling based on a known trip count, or a trip count multiple, this doesn't save us the conditional check and branch on each iteration. However, it does allow us to simplify the straight-line code we get (constant-folding, etc.), which is important given that we know that we will usually only hit this code, and not the actual loop.

The code is somewhat similar (and is based on the original version of) the runtime unrolling code, but I think like they're sufficiently different that trying to share the implementation isn't a good idea. Since the current runtime unrolling implementation already has two different prolog/epilog cases, making it do peeling as well will make it rather unreadable.

I'm planning on committing this as disabled-by-default, until I have a bit more confidence in the performance - some more tuning may be required.

[davidxl]

lib/Transforms/Scalar/LoopUnrollPass.cpp

731

Should PeelCount be a member of UnrollingPreferences class?

881

I think all the logic here should probably be wrapped in a helper function "computeOptimalPeelCount".

898

getPeelCount looks like a simple wrapper that is only used once. Probably get rid of it.

lib/Transforms/Utils/LoopUnrollPeel.cpp

64

Is there common utility to do body cloning?

[hfinkel]

As a high-level comment, it would be nice to also have loop metadata to specify a typical trip count (or trip counts).

Intel, for example has (https://software.intel.com/en-us/node/524502):

#pragma loop_count(n)

which asks the optimizer to optimize for a trip count of n. Moreover, and perhaps more importantly, is also supports:

#pragma loop_count(n1, n2, ...)

which asks for specializations for trip counts n1, n2, etc.

Also supported by Intel's compiler is:

#pragma loop_count min(n),max(n),avg(n)

(in this case, avg is a hint, but min and max are promises).

FWIW, obviously part of the problem with the average is that you might miss the common trip counts. A loop that is generally executed with a trip count of 3 or 5, might end up with a average near 4; I'm not sure what the best thing would be to do in that case.

[mkuper]

Thanks, David.

lib/Transforms/Scalar/LoopUnrollPass.cpp

731

I think not, but I don't really know.
To the best of my understanding, the main point of UnrollingPreferences is to give targets the ability to override the defaults, and I'm not sure this is useful here.

881

Maybe. That was the idea behind getPeelCount() - but I thought to leave the forcing logic here, where it is for all the other user knobs.

898

Right, it originally contained the code that now lives in getLoopEstimatedTripCount(), but I decided to factor that out because that's more generally useful (e.g. I can see it used in the vectorizer).

lib/Transforms/Utils/LoopUnrollPeel.cpp

64

Not really.

This is based on CloneLoopBlocks() in LoopUnrollRuntime, but it's sufficiently different so that sharing code didn't really make sense to me. The main loop unrolling code also has its own, more complicated, version of this.

The basic loop copying code is fairly straightforward

for (LoopBlocksDFS::RPOIterator BB = BlockBegin; BB != BlockEnd; ++BB) {
  BasicBlock *NewBB = CloneBasicBlock(*BB, VMap, ".", F);
  NewBlocks.push_back(NewBB);
  VMap[*BB] = NewBB;
}
remapInstructionsInBlocks(NewBlocks, VMap);

But the different versions do different fixups on the fly - hookinh up inputs, outputs and branches, VMap changes, updating ScalarEvolution and/or LoopInfo, etc.

[mkuper]

In D25963#579328, @hfinkel wrote:

As a high-level comment, it would be nice to also have loop metadata to specify a typical trip count (or trip counts).

Intel, for example has (https://software.intel.com/en-us/node/524502):

#pragma loop_count(n)

which asks the optimizer to optimize for a trip count of n. Moreover, and perhaps more importantly, is also supports:

#pragma loop_count(n1, n2, ...)

which asks for specializations for trip counts n1, n2, etc.

Also supported by Intel's compiler is:

#pragma loop_count min(n),max(n),avg(n)

I agree this would be nice, but I think it's somewhat orthogonal.
We can start with an implementation of "estimated trip count" that relies on branch weights, and refine to use more specialized metadata if/when we have it.

FWIW, obviously part of the problem with the average is that you might miss the common trip counts. A loop that is generally executed with a trip count of 3 or 5, might end up with a average near 4; I'm not sure what the best thing would be to do in that case.

Right, but at least for sampling-based PGO, I think average is the best we're going to get. (Instrumentation can probably do better, and user hints certainly can).
I'm not entirely sure this is a problem, though. We want to optimize for the common case, and I think the average gives us that - in the "0.5 * 3 + 0.5 * 5" case, if we peel off 4 iterations, then 90% of the dynamically executed iterations will hit the peeled-off section - all iterations of the "3 trips" case, and 4 out of 5 iterations of the "5 trips" cases. Which is hopefully better than leaving the loop as is.

[davidxl]

lib/Transforms/Scalar/LoopUnrollPass.cpp

731

The Count field in UP is used to specify unrolling factor including heuristic based :

// 4rd priority is partial unrolling.

// Try partial unroll only when TripCount could be staticaly calculated.
if (TripCount) {
  if (UP.Count == 0)
    UP.Count = TripCount;

Conceptually peeling Count should be treated in the same way.

lib/Transforms/Utils/LoopUnrollPeel.cpp

88

Can this be moved outside the loop?

assert(VMap[Header]);
InsertTop->getTerminator()->setSuccessor(0, VMap[Header]);

91

This can be handled outside the loop too.

92

What this this erase do?

96

Is this a stale comment?

102

Why? I think we should update the branch probability here -- it depends on the what iteration of the peeled clone. If peel count < average/estimated trip count, then each peeled iteration should be more biased towards fall through. If peel_count == est trip_count, then the last peel iteration should be biased toward exit.

221

The profile meta data of the original loop's back branch should be adjusted too.

[Gerolf]

Hi,

Could you provide more background on this idea? What is your motivational use case? When the trip count is low why optimize? If the profile is wrong and it actually is a hot loop for a regular/different input set peeling could hurt. There are also side effects on code size, register pressure etc. that could hurt performance.

Thanks
Gerolf

[mkuper]

Hi Gerolf,

In D25963#579918, @Gerolf wrote:

Hi,

Could you provide more background on this idea?

I can't take credit for the idea - this is something GCC already does.

What is your motivational use case? When the trip count is low why optimize?

The motivational use case is a loop with a low trip count that is nested inside a loop with a high trip count.
Peeling the inner loop allows further passes in the optimization pipeline simplify the code for the iterations that actually run, making the outer loop's body better.
Consider something like this:

for (int i = 0; i < bignum; ++i) {
  int ret = 0;
  for (int j = 0; j < param; ++j)
    ret += arr[i][j];
  out[i] = ret;
}

Imagine param is usually 1.
We can then peel this into:

for (int i = 0; i < bignum; ++i) {
  int ret = 0;
  if (param == 0)
    continue;
  ret += arr[i][0]
  for (int j = 1; j < param; ++j)
    ret += arr[i][j];
  out[i] = ret;
}

Which then becomes something morally equivalent to:

for (int i = 0; i < bignum; ++i) {
  if (param == 0)
     continue;
  if (param == 1) {
    out[i] = arr[i][0];
    continue;
  }
  ret = arr[i][0];
  for (int j = 1; j < param; ++j)
    ret += arr[i][j];
  out[i] = ret;
}

So, we've improved the common case (param == 1) - we no longer have to initialize ret, we don't have to deal with the inner loop's IV, there's no add, just a direct assignment.

If the profile is wrong and it actually is a hot loop for a regular/different input set peeling could hurt.

Sure, but this is true for any profile-guided optimization. PGO is only good with representative inputs. If an optimization was good regardless of input, we'd be doing it for non-PGO builds.

There are also side effects on code size, register pressure etc. that could hurt performance.

Right. But that's not really different from any other kind of loop unrolling. Hence the thresholds, etc.

Thanks
Gerolf

Thanks,
Michael

lib/Transforms/Utils/LoopUnrollPeel.cpp

88

Right, both this and the Latch handling should be moved outside the loop, thanks.

91

Right, thanks.

92

Nothing, nice catch!
(It's stale - it's needed when you replace LatchBR instead of modifying it in-place.)

96

No, but I guess it's not clear.

Let's say we're peeling off K iterations.

For iteration J in 1..K-1, we want the branch that terminates the copy of the latch to be:
if (cond) goto header(J+1) else goto exit

For iteration K, we want to set this branch to be:
if (cond) goto new-ph else goto exit.

Here, new-ph is the preheader of the new loop (that is, the loop that handles iterations >= K+1). Technically, this preheader should be empty, and only contains a branch to the loop header - the only reason it exists is to keep the loop in canonical form.
Does this make sense? If it does, I'll try to improve the comment.

102

You're right, it's not that we don't know anything - but we don't know enough. I'm not sure how to attach a reasonable number to this, without knowing the distribution.
Do you have any suggestions? The trivial option would be to assume an extremely narrow distribution (the loop always exits after exactly K iterations), but that would mean having an extreme bias for all of the branches, and I'm not sure that's wise.

221

Right, I missed that, thanks.
But, as above - I'm not sure by how much to adjust it.

[mkuper]

lib/Transforms/Scalar/LoopUnrollPass.cpp

731

To be honest, I don't understand why Count lives in UnrollingPreferences either. It's never a target preference, it's a derived value.

[davidxl]

lib/Transforms/Utils/LoopUnrollPeel.cpp

102

A reasonable way to annotate the branch is like this.
Say the original trip count of the loop is N, then for the m th (from 0 to N-1) peeled iteration, the fall through probability is a decreasing function:

(N - m )/N

Add some fuzzing factor to avoid creating extremely biased branch prob:

for instance (N-m)*3/(4*N)

[hfinkel]

In D25963#579367, @mkuper wrote:

In D25963#579328, @hfinkel wrote:

As a high-level comment, it would be nice to also have loop metadata to specify a typical trip count (or trip counts).

Intel, for example has (https://software.intel.com/en-us/node/524502):

#pragma loop_count(n)

which asks the optimizer to optimize for a trip count of n. Moreover, and perhaps more importantly, is also supports:

#pragma loop_count(n1, n2, ...)

which asks for specializations for trip counts n1, n2, etc.

Also supported by Intel's compiler is:

#pragma loop_count min(n),max(n),avg(n)

I agree this would be nice, but I think it's somewhat orthogonal.
We can start with an implementation of "estimated trip count" that relies on branch weights, and refine to use more specialized metadata if/when we have it.

Agreed.

FWIW, obviously part of the problem with the average is that you might miss the common trip counts. A loop that is generally executed with a trip count of 3 or 5, might end up with a average near 4; I'm not sure what the best thing would be to do in that case.

Right, but at least for sampling-based PGO, I think average is the best we're going to get. (Instrumentation can probably do better, and user hints certainly can).
I'm not entirely sure this is a problem, though. We want to optimize for the common case, and I think the average gives us that - in the "0.5 * 3 + 0.5 * 5" case, if we peel off 4 iterations, then 90% of the dynamically executed iterations will hit the peeled-off section - all iterations of the "3 trips" case, and 4 out of 5 iterations of the "5 trips" cases. Which is hopefully better than leaving the loop as is.

I agree. Thanks for explaining this, because I did not understand what was happening. I thought that you where peeling off a fixed number of iterations as a single block. You're not. This will give a different performance vs. applicability tradeoff. I think that this probably makes more sense for PGO-driven information.

[mkuper]

Updated per David's comments.

David, after some more thought, I think your analysis was right - so I used a narrower distribution. You can see the result for a 3-iteration peeling in the pgo test. Let me know if you think it makes sense.
Also I repurposed getPeelCount to be self-contained in terms of selecting the factor, but it led to a bit of ugliness, not sure if this is better or worse than the original.

[Gerolf]

lib/Transforms/Utils/LoopUnrollPeel.cpp

48

Please add an option to turn it off by default.

126

Could this be implemented as

• distribute k: N-k (assuming trip count N)
• complete unroll first k iterations?

[mkuper]

lib/Transforms/Utils/LoopUnrollPeel.cpp

48

That option already exists - it's in LoopUnrollPass (because it's needed as part of the UnrollingPreferences initialization), and is currently off by default. These two options also started out living in LoopUnrollPass but moved since I tried to consolidate choosing the peeling factor here.
That's part of the "ugliness" I referred to above.

126

Anyway, yes, I've originally thought about implementing it like that (it seemed like it'd be simpler, although I'm not entirely sure there's a big difference). But I think a more direct implementation fits the flow of the unroller better.

I wanted to make the "unroll / runtime unroll / peel" decision at the same point (otherwise this could be a separate pass that runs before the unroller, performs the split and marks the two loops as nounroll and force-unroll). And if this lives in the unroller - splitting and then unrolling the new loop while in the middle of "unrolling" the original one seemed awkward.

[davidxl]

lib/Transforms/Utils/LoopUnroll.cpp

357

.\n --> iterations.\n

lib/Transforms/Utils/LoopUnrollPeel.cpp

64

Is UP parameter intended to be used?

122

I think the following weights should be passed in:

• TotalHeaderWeight of the currently peeled loop -- it is passed in for update: TotalHeaderWeight -= PeeledIterationHeaderWeight;

• PeeledIterationHeaderWeight
  1. its initial value for the first peeled iteration is the PreheaderWeight or ExitWeight of the original loop
  2. After peeling of one iteration, its value will be updated to the fallthrough weight of the peel

• TotalExitEdgeWeight -- passed in for update. After peeling, TotalExitEdgeWeight -= PeeledIterationExitWeight'

126

for counted loops, distribute + complete unroll may be simple, but not necessarily good for general cases such as linked-list traversal loops etc.

169

Should average trip count be used instead of PeelCount (which may be different)?

292

See my comment above about what weights need to be passed for updating.

324

Both headeTotalWeight and ExitEdge Weight need to be adjusted during peeling, and the new meta data can just use the updated backedge weight and exit weight.

[mkuper]

lib/Transforms/Utils/LoopUnroll.cpp

357

Sure.

lib/Transforms/Utils/LoopUnrollPeel.cpp

64

Sorry, I don't quite understand what you mean here. It is used (in line 84 or below). Could you explain?

122

I don't think we need TotalExitEdgeWeight, but you're right, we need to accumulate the header weight to be able to update the final weight of the backedge properly.

169

Right, I assumed they're the same (and currently they are), but it's not necessarily true in general, I'll add a parameter (and pass PeelCount).

[davidxl]

lib/Transforms/Utils/LoopUnrollPeel.cpp

64

Sorry I misread the early return as the regular return. Anyway, if UP is used here, there seems redundant to set UP.PeelCount in the caller of this function.

[mkuper]

lib/Transforms/Utils/LoopUnrollPeel.cpp

64

I think it'd be better for it to be set explicitly in the caller, rather than hidden away in here. (This currently also sets it, but that was unintentional, thanks for noticing).
I'd prefer to pass UP here by const reference, and set UP.PeelCount in the caller.

[mkuper]

Updated per David's comments.

Note that I'm becoming more convinced the current distribution for the latch branch copies is rather unreasonable, but we can fix that separately.

[davidxl]

lib/Transforms/Utils/LoopUnrollPeel.cpp

112

I think this parameter should better be called 'PeeledHeaderWeight' -- it is really the weight of the 'header' block of the current peeled iteration. The PeeledHeaderWeight will be updated to the next iteration's header weight after this call is done.

The name 'Remaining' sounds like the original value of this weight parameter is the sum of all peeled iteration's header weight, but it is actually not.

296

If user request a large peel count, this may end up < 0 which should be avoided. Make it as least >=0.

[mkuper]

lib/Transforms/Utils/LoopUnrollPeel.cpp

112

Sure, I'll change it.

296

Nice catch, thanks! I actually noticed it, but forgot to change the code.
This was one of the reasons I think the distribution is problematic - this shouldn't happen in a distribution when the peel count really is the average.

(Also, I think it probably should be >=1, not just >=0).

[mkuper]

Updated per David's comments.

[mkuper]

Some performance numbers - SPECint and SPECfp C/C++ with instrumentation-based PGO:

444.namd         -0.43%
447.dealII       -0.69%
450.soplex       -0.12%
453.povray       +2.48%
433.milc         +0.38%
470.lbm          -0.58%
482.sphinx3      +0.27%
471.omnetpp      -0.40%
473.astar        +0.17%
483.xalancbmk    -0.46%
400.perlbench    -0.55%
401.bzip2        +0.17%
403.gcc          +0.38%
429.mcf          -0.36%
445.gobmk        +0.11%
456.hmmer        +0.69%
458.sjeng        +0.49%
462.libquantum   -0.07%
464.h264ref      +0.65%

geometric mean   +0.11%

The improvement in povray seems stable, the rest is probably noise.

[mkuper]

Ping.

[davidxl]

Looks good to me. Adam, do you have more comments?

[anemet]

Sorry guys about the delay. I'll look at this today!

[haicheng]

Just a few nits.

lib/Transforms/Scalar/LoopUnrollPass.cpp

999

Unnecessary change.

1109

Unnecessary change.

lib/Transforms/Utils/LoopUnrollPeel.cpp

213–215

Braces are not necessary.

[dberris]

lib/Transforms/Utils/LoopUnrollPeel.cpp

212–215

You might also be able to turn this into a range-based for loop:

for (const auto& KV : VMap)
  LVMap[KV.first] = KV.second;

[anemet]

The basic idea is that when the average dynamic trip-count of a loop is known, based on PGO, to be low, we can expect a performance win by peeling off the first several iterations of that loop. Unlike unrolling based on a known trip count, or a trip count multiple, this doesn't save us the conditional check and branch on each iteration. However, it does allow us to simplify the straight-line code we get (constant-folding, etc.), which is important given that we know that we will usually only hit this code, and not the actual loop.

The resulting code should also be more branch-predictor friendly; for small-trip count loops the loop-exiting misprediction can be significant.

include/llvm/Transforms/Utils/UnrollLoop.h

19

forward-declare

lib/Transforms/Scalar/LoopUnrollPass.cpp

1192–1193

If this is a formatting-only change please remove it from this patch.

lib/Transforms/Utils/LoopUnroll.cpp

356

We don't want to print internal IR names like this. The remark will already point at the source location of the loop.

lib/Transforms/Utils/LoopUnrollPeel.cpp

13

compile-time constant trip count

64

I agree with David that this interface is confusing. This function either knows about UP or doesn't. If it does it should handle both read-and-write.

108–119

All these function comments should be doxygen comments.

112

"loop entries" is a bit confusing here; we're not entering the loop.

234–261

I am not sure I don't understand this comment. Perhaps having the pseudo code when one more iteration is peeled may clear things up. It's unclear to me in this last paragraph for example how the conditional branch is generated in the split bottom anchor block.

lib/Transforms/Utils/LoopUtils.cpp

1089–1098

Do we have a precedence adjusting weight like this back? Hopefully the underlying issue will be fixed soon so we shouldn't add band-aids like this.

test/Transforms/LoopUnroll/peel-loop.ll

2

It would be good to explain what each of these tests.

[mkuper]

Thanks, Adam!
I'll fix the cosmetics, but I'm still not sure what to do about the branch weight adjustments.

[anemet]

In D25963#596582, @mkuper wrote:

Thanks, Adam!
I'll fix the cosmetics, but I'm still not sure what to do about the branch weight adjustments.

Wasn't @davidxl working on fixing them?

[mkuper]

In D25963#596720, @anemet wrote:

In D25963#596582, @mkuper wrote:

Thanks, Adam!
I'll fix the cosmetics, but I'm still not sure what to do about the branch weight adjustments.

Wasn't @davidxl working on fixing them?

Not that I know of. @davidxl, did I miss something?

Also, phab seems to have swallowed a long comment I wrote about that. :-\

Basically, the underlying issue is that clang doesn't actually record the branch weights it gets from the profile. Rather, it records the branch weights it thinks are better for the purpose of branch probability estimation. From CodeGenPGO.cpp:
/ According to Laplace's Rule of Succession, it is better to compute the
/ weight based on the count plus 1, so universally add 1 to the value.
While this may be good from a branch-probability standpoint, it throws off using the weights for trip count estimates, when the exit weight is small.

I see 3 options:

1. Keep what I have here as a band-aid.
2. Don't do the -1 adjustment here - hopefully, in reality, we don't care about the cases where it makes a difference. I'll need to benchmark this, though.
3. Remove the +1 adjustment in clang, and instead do it where we actually use the branch weights to estimate probabilities, that is, in BPI. Of course, there may be other places that read the weights but really want the adjusted weights (and, say, assume weights are never 0). I asked @bogner about this on IRC, and he seemed ambivalent.

What do you think?

[danielcdh]

include/llvm/Transforms/Utils/LoopUtils.h

465 ↗

(On Diff #77068)

Is it possible to have this helper function in another patch (maybe NFC) and submit it first? I'd like to use it in another patch: https://reviews.llvm.org/D26527. Or if this patch is going in pretty soon, it's also fine. Thanks.

[danielcdh]

include/llvm/Transforms/Utils/LoopUtils.h

465 ↗

(On Diff #77068)

Also, this function does not distinguish between "0-trip count" and "unknown tripcount". Maybe change the return value to int so that <0 means unknown tripcount? Or simply use Optional<unsigned> as return value.

[mkuper]

include/llvm/Transforms/Utils/LoopUtils.h

465 ↗

(On Diff #77068)

I hope this can go in pretty soon. :-)

In any case, I'd rather not commit unused API as an NFC patch, but feel free to "steal" this into your patch in case that goes in first.
Re "0-trip count" and "unknown trip count" - fair point. I'll change the interface to use Optional<>.

[mkuper]

Updated per comments.
Also changed getLoopEstimatedTripCount() to round-to-nearest when dividing.

This was probably the right thing to do to begin with, and compensates for an off-by-one if we have very precise, but adjusted by clang, branch weights.
If the original edge weights were 3000 and 1000, we really want to peel off 3 iterations, but 3001/1001 = 2.99.. and the previous code would truncate it to 2.

[mkuper]

lib/Transforms/Utils/LoopUtils.cpp

1094

Actually, now that I think about this again, I'm not sure this is right.
Dehao, for instrumentation-based profiles, do back-edges of loops that are never taken get any profile metadata? I think they don't, in which case this should probably return 0.

[danielcdh]

lib/Transforms/Utils/LoopUtils.cpp

1094

I'm not sure about instrumentation-based profiles, but for sample-based profiles, if the backedge is never taken (but executed and thus has sample), it will still get branch probability metadata annotated, which will be (sample_count+1, 1)

[mkuper]

lib/Transforms/Utils/LoopUtils.cpp

1094

Ok, will keep it as is, then.

[davidxl]

lib/Transforms/Utils/LoopUtils.cpp

1094

as long as the loop body is executed, it will have profile data annotated. If the backedge is never taken, the weight will be (0, 1)

[mkuper]

Rebased to resolve conflicts with r287186.

Dehao, note I moved the flat loop check to be below the peeling computation, otherwise it would preempt it.
I think as long as it's above runtime unrolling, it does what you meant, right?

[danielcdh]

In D25963#600188, @mkuper wrote:

Rebased to resolve conflicts with r287186.

Dehao, note I moved the flat loop check to be below the peeling computation, otherwise it would preempt it.
I think as long as it's above runtime unrolling, it does what you meant, right?

SGTM. Looks like the check becomes noop when peeling is enabled. But it would still serve as a backup plan when peeling is not enabled.

[mkuper]

In D25963#600198, @danielcdh wrote:

In D25963#600188, @mkuper wrote:

Rebased to resolve conflicts with r287186.

Dehao, note I moved the flat loop check to be below the peeling computation, otherwise it would preempt it.
I think as long as it's above runtime unrolling, it does what you meant, right?

SGTM. Looks like the check becomes noop when peeling is enabled. But it would still serve as a backup plan when peeling is not enabled.

I don't think it's a noop. We may decide not to peel even with a low trip count, but we will still prefer not to unroll.

[mkuper]

Adam, David, do you have any additional comments, or is this good to go?

[davidxl]

lgtm

[anemet]

lib/Transforms/Utils/LoopUnrollPeel.cpp

111–112

You should also say something about adjusting profile data otherwise it's not clear why all the other parameters are passed.

Does that actually need to happen in this same function? It feels that this could be further decomposed for improved readability.

224–226

Missing function comment.

293

.peel.new

[mkuper]

Thanks, Adam!

[anemet]

LGTM with some minor changes.

lib/Transforms/Utils/LoopUnrollPeel.cpp

138

Why the 0.9? This also needs a comment.

205–220

This needs a bit more comment; here we're turning values that were before defined by the loop PHIs to use values directly from the preheader or the previous cloned loop body.

[trentxintong]

llvm/trunk/lib/Transforms/Utils/LoopUnrollPeel.cpp

357 ↗

(On Diff #79803)

@mkuper any particular reasons why the backedge weight has to be 1 instead of 0 ?

[mkuper]

llvm/trunk/lib/Transforms/Utils/LoopUnrollPeel.cpp

357 ↗

(On Diff #79803)

There was some concern (on IRC, I don't remember who expressed it, unfortunately) that other things that look at profile information will not be happy with 0 weights, since clang doesn't normally generate them (the whole "Laplace's Rule of Succession" adjustment).

I haven't actually tested it, but it didn't seem like it should matter much - if we get here, the distribution isn't that realistic to begin with. So I preferred to play it safe.

include/llvm/Analysis/TargetTransformInfo.h

struct UnrollingPreferences {
     /// OptSizeThreshold, but used for partial/runtime unrolling (set to
     /// UINT_MAX to disable).
     unsigned PartialOptSizeThreshold;
     /// A forced unrolling factor (the number of concatenated bodies of the
     /// original loop in the unrolled loop body). When set to 0, the unrolling
     /// transformation will select an unrolling factor based on the current cost
     /// threshold and other factors.
     unsigned Count;
+    /// A forced peeling factor (the number of bodied of the original loop
+    /// that should be peeled off before the loop body). When set to 0, the
+    /// unrolling transformation will select a peeling factor based on profile
+    /// information and other factors.
+    unsigned PeelCount;
     /// Default unroll count for loops with run-time trip count.
     unsigned DefaultUnrollRuntimeCount;
     // Set the maximum unrolling factor. The unrolling factor may be selected
     // using the appropriate cost threshold, but may not exceed this number
     // (set to UINT_MAX to disable). This does not apply in cases where the
     // loop is being fully unrolled.
     unsigned MaxCount;
     /// Set the maximum unrolling factor for full unrolling. Like MaxCount, but
struct UnrollingPreferences {
     /// Allow emitting expensive instructions (such as divisions) when computing
     /// the trip count of a loop for runtime unrolling.
     bool AllowExpensiveTripCount;
     /// Apply loop unroll on any kind of loop
     /// (mainly to loops that fail runtime unrolling).
     bool Force;
     /// Allow using trip count upper bound to unroll loops.
     bool UpperBound;
+    /// Allow peeling off loop iterations for loops with low dynamic tripcount.
+    bool AllowPeeling;
   };
 
   /// \brief Get target-customized preferences for the generic loop unrolling
   /// transformation. The caller will initialize UP with the current
   /// target-independent defaults.
   void getUnrollingPreferences(Loop *L, UnrollingPreferences &UP) const;
 
   /// @}

include/llvm/Transforms/Utils/UnrollLoop.h

 // actual pass or policy, but provides a single function to perform loop
 // unrolling.
 //
 //===----------------------------------------------------------------------===//
 
 #ifndef LLVM_TRANSFORMS_UTILS_UNROLLLOOP_H
 #define LLVM_TRANSFORMS_UTILS_UNROLLLOOP_H
 
+// Needed because we can't forward-declare the nested struct
+// TargetTransformInfo::UnrollingPreferences
+#include "llvm/Analysis/TargetTransformInfo.h"
 
 namespace llvm {
 
 class StringRef;
 class AssumptionCache;
 class DominatorTree;
 class Loop;
 class LoopInfo;
 class LPPassManager;
 class MDNode;
 class Pass;
 class OptimizationRemarkEmitter;
 class ScalarEvolution;
 
 bool UnrollLoop(Loop *L, unsigned Count, unsigned TripCount, bool Force,
                 bool AllowRuntime, bool AllowExpensiveTripCount,
                 bool PreserveCondBr, bool PreserveOnlyFirst,
-                unsigned TripMultiple, LoopInfo *LI, ScalarEvolution *SE,
-                DominatorTree *DT, AssumptionCache *AC,
+                unsigned TripMultiple, unsigned PeelCount, LoopInfo *LI,
+                ScalarEvolution *SE, DominatorTree *DT, AssumptionCache *AC,
                 OptimizationRemarkEmitter *ORE, bool PreserveLCSSA);
 
 bool UnrollRuntimeLoopRemainder(Loop *L, unsigned Count,
                                 bool AllowExpensiveTripCount,
                                 bool UseEpilogRemainder, LoopInfo *LI,
                                 ScalarEvolution *SE, DominatorTree *DT,
                                 bool PreserveLCSSA);
 
+void computePeelCount(Loop *L, unsigned LoopSize,
+                      TargetTransformInfo::UnrollingPreferences &UP);
+
+bool peelLoop(Loop *L, unsigned PeelCount, LoopInfo *LI, ScalarEvolution *SE,
+              DominatorTree *DT, bool PreserveLCSSA);
+
 MDNode *GetUnrollMetadata(MDNode *LoopID, StringRef Name);
 }
 
 #endif

lib/Transforms/Scalar/LoopUnrollPass.cpp

 #include "llvm/Analysis/GlobalsModRef.h"
 #include "llvm/Analysis/InstructionSimplify.h"
 #include "llvm/Analysis/LoopPass.h"
 #include "llvm/Analysis/LoopPassManager.h"
 #include "llvm/Analysis/LoopUnrollAnalyzer.h"
 #include "llvm/Analysis/OptimizationDiagnosticInfo.h"
 #include "llvm/Analysis/ScalarEvolution.h"
 #include "llvm/Analysis/ScalarEvolutionExpressions.h"
-#include "llvm/Analysis/TargetTransformInfo.h"
 #include "llvm/IR/DataLayout.h"
 #include "llvm/IR/Dominators.h"
 #include "llvm/IR/InstVisitor.h"
 #include "llvm/IR/IntrinsicInst.h"
 #include "llvm/IR/Metadata.h"
 #include "llvm/Support/CommandLine.h"
 #include "llvm/Support/Debug.h"
 #include "llvm/Support/raw_ostream.h"
cl::desc("Unrolled size limit for loops with an unroll(full) or "
              "unroll_count pragma."));
 
 static cl::opt<unsigned> FlatLoopTripCountThreshold(
     "flat-loop-tripcount-threshold", cl::init(5), cl::Hidden,
     cl::desc("If the runtime tripcount for the loop is lower than the "
              "threshold, the loop is considered as flat and will be less "
              "aggressively unrolled."));
 
+static cl::opt<bool>
+    UnrollAllowPeeling("unroll-allow-peeling", cl::Hidden,
+                       cl::desc("Allows loops to be peeled when the dynamic "
+                                "trip count is known to be low."));
+
 /// A magic value for use with the Threshold parameter to indicate
 /// that the loop unroll should be performed regardless of how much
 /// code expansion would result.
 static const unsigned NoThreshold = UINT_MAX;
 
 /// Gather the various unrolling parameters based on the defaults, compiler
 /// flags, TTI overrides and user specified parameters.
 static TargetTransformInfo::UnrollingPreferences gatherUnrollingPreferences(
     Loop *L, const TargetTransformInfo &TTI, Optional<unsigned> UserThreshold,
     Optional<unsigned> UserCount, Optional<bool> UserAllowPartial,
     Optional<bool> UserRuntime, Optional<bool> UserUpperBound) {
   TargetTransformInfo::UnrollingPreferences UP;
 
   // Set up the defaults
   UP.Threshold = 150;
   UP.PercentDynamicCostSavedThreshold = 50;
   UP.DynamicCostSavingsDiscount = 100;
   UP.OptSizeThreshold = 0;
   UP.PartialThreshold = UP.Threshold;
   UP.PartialOptSizeThreshold = 0;
   UP.Count = 0;
+  UP.PeelCount = 0;
   UP.DefaultUnrollRuntimeCount = 8;
   UP.MaxCount = UINT_MAX;
   UP.FullUnrollMaxCount = UINT_MAX;
   UP.BEInsns = 2;
   UP.Partial = false;
   UP.Runtime = false;
   UP.AllowRemainder = true;
   UP.AllowExpensiveTripCount = false;
   UP.Force = false;
   UP.UpperBound = false;
+  UP.AllowPeeling = false;
 
   // Override with any target specific settings
   TTI.getUnrollingPreferences(L, UP);
 
   // Apply size attributes
   if (L->getHeader()->getParent()->optForSize()) {
     UP.Threshold = UP.OptSizeThreshold;
     UP.PartialThreshold = UP.PartialOptSizeThreshold;
static TargetTransformInfo::UnrollingPreferences gatherUnrollingPreferences(
   if (UnrollAllowPartial.getNumOccurrences() > 0)
     UP.Partial = UnrollAllowPartial;
   if (UnrollAllowRemainder.getNumOccurrences() > 0)
     UP.AllowRemainder = UnrollAllowRemainder;
   if (UnrollRuntime.getNumOccurrences() > 0)
     UP.Runtime = UnrollRuntime;
   if (UnrollMaxUpperBound == 0)
     UP.UpperBound = false;
+  if (UnrollAllowPeeling.getNumOccurrences() > 0)
+    UP.AllowPeeling = UnrollAllowPeeling;
 
   // Apply user values provided by argument
   if (UserThreshold.hasValue()) {
     UP.Threshold = *UserThreshold;
     UP.PartialThreshold = *UserThreshold;
   }
   if (UserCount.hasValue())
     UP.Count = *UserCount;

 }
 
 // Returns true if unroll count was set explicitly.
 // Calculates unroll count and writes it to UP.Count.
 static bool computeUnrollCount(
     Loop *L, const TargetTransformInfo &TTI, DominatorTree &DT, LoopInfo *LI,
     ScalarEvolution *SE, OptimizationRemarkEmitter *ORE, unsigned &TripCount,
     unsigned MaxTripCount, unsigned &TripMultiple, unsigned LoopSize,
     TargetTransformInfo::UnrollingPreferences &UP, bool &UseUpperBound) {
   // Check for explicit Count.
   // 1st priority is unroll count set by "unroll-count" option.
   bool UserUnrollCount = UnrollCount.getNumOccurrences() > 0;
   if (UserUnrollCount) {
     UP.Count = UnrollCount;
     UP.AllowExpensiveTripCount = true;
     UP.Force = true;
     if (UP.AllowRemainder && getUnrolledLoopSize(LoopSize, UP) < UP.Threshold)
if (PragmaFullUnroll && TripCount != 0) {
     if (getUnrolledLoopSize(LoopSize, UP) < PragmaUnrollThreshold)
       return false;
   }
 
   bool PragmaEnableUnroll = HasUnrollEnablePragma(L);
   bool ExplicitUnroll = PragmaCount > 0 || PragmaFullUnroll ||
                         PragmaEnableUnroll || UserUnrollCount;
 
-  // Check if the runtime trip count is too small when profile is available.
-  if (L->getHeader()->getParent()->getEntryCount() && TripCount == 0) {
-    if (auto ProfileTripCount = getLoopEstimatedTripCount(L)) {
-      if (*ProfileTripCount < FlatLoopTripCountThreshold)
-        return false;
-      else
-        UP.AllowExpensiveTripCount = true;
-    }
-  }
-
   if (ExplicitUnroll && TripCount != 0) {
     // If the loop has an unrolling pragma, we want to be more aggressive with
     // unrolling limits. Set thresholds to at least the PragmaThreshold value
     // which is larger than the default limits.
     UP.Threshold = std::max<unsigned>(UP.Threshold, PragmaUnrollThreshold);
     UP.PartialThreshold =
         std::max<unsigned>(UP.PartialThreshold, PragmaUnrollThreshold);
   }
static bool computeUnrollCount(
   if (PragmaFullUnroll)
     ORE->emit(
         OptimizationRemarkMissed(DEBUG_TYPE,
                                  "CantFullUnrollAsDirectedRuntimeTripCount",
                                  L->getStartLoc(), L->getHeader())
         << "Unable to fully unroll loop as directed by unroll(full) pragma "
            "because loop has a runtime trip count.");
 
-  // 5th priority is runtime unrolling.
+  // 5th priority is loop peeling
+  computePeelCount(L, LoopSize, UP);
+  if (UP.PeelCount) {
+    UP.Runtime = false;
+    UP.Count = 1;
+    return ExplicitUnroll;
+  }
+
+  // Check if the runtime trip count is too small when profile is available.
+  if (L->getHeader()->getParent()->getEntryCount()) {
+    if (auto ProfileTripCount = getLoopEstimatedTripCount(L)) {
+      if (*ProfileTripCount < FlatLoopTripCountThreshold)
+        return false;
+      else
+        UP.AllowExpensiveTripCount = true;
+    }
+  }  
+
+  // 6th priority is runtime unrolling.
   // Don't unroll a runtime trip count loop when it is disabled.
   if (HasRuntimeUnrollDisablePragma(L)) {
     UP.Count = 0;
     return false;
   }
   // Reduce count based on the type of unrolling and the threshold values.
   UP.Runtime |= PragmaEnableUnroll || PragmaCount > 0 || UserUnrollCount;
   if (!UP.Runtime) {
     DEBUG(dbgs() << "  will not try to unroll loop with runtime trip count "
DEBUG(
         dbgs() << "  Not unrolling loop which is not in loop-simplify form.\n");
     return false;
   }
 
   // Find trip count and trip multiple if count is not available
   unsigned TripCount = 0;
   unsigned MaxTripCount = 0;
   unsigned TripMultiple = 1;
   // If there are multiple exiting blocks but one of them is the latch, use the
   // latch for the trip count estimation. Otherwise insist on a single exiting
   // block for the trip count estimation.
   BasicBlock *ExitingBlock = L->getLoopLatch();
   if (!ExitingBlock || !L->isLoopExiting(ExitingBlock))
     ExitingBlock = L->getExitingBlock();
   if (ExitingBlock) {
     TripCount = SE->getSmallConstantTripCount(L, ExitingBlock);
     TripMultiple = SE->getSmallConstantTripMultiple(L, ExitingBlock);
if (!UP.Count)
     return false;
   // Unroll factor (Count) must be less or equal to TripCount.
   if (TripCount && UP.Count > TripCount)
     UP.Count = TripCount;
 
   // Unroll the loop.
   if (!UnrollLoop(L, UP.Count, TripCount, UP.Force, UP.Runtime,
                   UP.AllowExpensiveTripCount, UseUpperBound, MaxOrZero,
-                  TripMultiple, LI, SE, &DT, &AC, &ORE, PreserveLCSSA))
+                  TripMultiple, UP.PeelCount, LI, SE, &DT, &AC, &ORE,
+                  PreserveLCSSA))
     return false;
 
   // If loop has an unroll count pragma or unrolled by explicitly set count
   // mark loop as unrolled to prevent unrolling beyond that requested.
-  if (IsCountSetExplicitly)
+  // If the loop was peeled, we already "used up" the profile information
+  // we had, so we don't want to unroll or peel again.
+  if (IsCountSetExplicitly || UP.PeelCount)
     SetLoopAlreadyUnrolled(L);
+
   return true;
 }
 
 namespace {
 class LoopUnroll : public LoopPass {
 public:
   static char ID; // Pass ID, replacement for typeid
   LoopUnroll(Optional<unsigned> Threshold = None,
bool runOnLoop(Loop *L, LPPassManager &) override {
     Function &F = *L->getHeader()->getParent();
 
     auto &DT = getAnalysis<DominatorTreeWrapperPass>().getDomTree();
     LoopInfo *LI = &getAnalysis<LoopInfoWrapperPass>().getLoopInfo();
     ScalarEvolution *SE = &getAnalysis<ScalarEvolutionWrapperPass>().getSE();
     const TargetTransformInfo &TTI =
         getAnalysis<TargetTransformInfoWrapperPass>().getTTI(F);
     auto &AC = getAnalysis<AssumptionCacheTracker>().getAssumptionCache(F);
     // For the old PM, we can't use OptimizationRemarkEmitter as an analysis
     // pass.  Function analyses need to be preserved across loop transformations
     // but ORE cannot be preserved (see comment before the pass definition).
     OptimizationRemarkEmitter ORE(&F);
     bool PreserveLCSSA = mustPreserveAnalysisID(LCSSAID);
 
     return tryToUnrollLoop(L, DT, LI, SE, TTI, AC, ORE, PreserveLCSSA,
                            ProvidedCount, ProvidedThreshold,
                            ProvidedAllowPartial, ProvidedRuntime,
report_fatal_error(
         "LoopUnrollPass: AssumptionAnalysis not cached at a higher level");
   if (!ORE)
     report_fatal_error("LoopUnrollPass: OptimizationRemarkEmitterAnalysis not "
                        "cached at a higher level");
 
   bool Changed =
       tryToUnrollLoop(&L, *DT, LI, SE, *TTI, *AC, *ORE, /*PreserveLCSSA*/ true,
                       ProvidedCount, ProvidedThreshold, ProvidedAllowPartial,
                       ProvidedRuntime, ProvidedUpperBound);
 
   if (!Changed)
     return PreservedAnalyses::all();
   return getLoopPassPreservedAnalyses();
 }

lib/Transforms/Utils/CMakeLists.txt

add_llvm_library(LLVMTransformUtils
   ImportedFunctionsInliningStatistics.cpp
   InstructionNamer.cpp
   IntegerDivision.cpp
   LCSSA.cpp
   LibCallsShrinkWrap.cpp
   Local.cpp
   LoopSimplify.cpp
   LoopUnroll.cpp
-  LoopUnrollRuntime.cpp
+  LoopUnrollPeel.cpp
+  LoopUnrollRuntime.cpp  
   LoopUtils.cpp
   LoopVersioning.cpp
   LowerInvoke.cpp
   LowerSwitch.cpp
   Mem2Reg.cpp
   MemorySSA.cpp
   MetaRenamer.cpp
   ModuleUtils.cpp

lib/Transforms/Utils/LoopUnroll.cpp

 ///
 /// If AllowRuntime is true then UnrollLoop will consider unrolling loops that
 /// have a runtime (i.e. not compile time constant) trip count.  Unrolling these
 /// loops require a unroll "prologue" that runs "RuntimeTripCount % Count"
 /// iterations before branching into the unrolled loop.  UnrollLoop will not
 /// runtime-unroll the loop if computing RuntimeTripCount will be expensive and
 /// AllowExpensiveTripCount is false.
 ///
+/// If we want to perform PGO-based loop peeling, PeelCount is set to the 
+/// number of iterations we want to peel off.
+///
 /// The LoopInfo Analysis that is passed will be kept consistent.
 ///
 /// This utility preserves LoopInfo. It will also preserve ScalarEvolution and
 /// DominatorTree if they are non-null.
 bool llvm::UnrollLoop(Loop *L, unsigned Count, unsigned TripCount, bool Force,
                       bool AllowRuntime, bool AllowExpensiveTripCount,
                       bool PreserveCondBr, bool PreserveOnlyFirst,
-                      unsigned TripMultiple, LoopInfo *LI, ScalarEvolution *SE,
-                      DominatorTree *DT, AssumptionCache *AC,
-                      OptimizationRemarkEmitter *ORE, bool PreserveLCSSA) {
+                      unsigned TripMultiple, unsigned PeelCount, LoopInfo *LI,
+                      ScalarEvolution *SE, DominatorTree *DT,
+                      AssumptionCache *AC, OptimizationRemarkEmitter *ORE,
+                      bool PreserveLCSSA) {
+
   BasicBlock *Preheader = L->getLoopPreheader();
   if (!Preheader) {
     DEBUG(dbgs() << "  Can't unroll; loop preheader-insertion failed.\n");
     return false;
   }
 
   BasicBlock *LatchBlock = L->getLoopLatch();
   if (!LatchBlock) {
bool llvm::UnrollLoop(Loop *L, unsigned Count, unsigned TripCount, bool Force,
   if (TripMultiple != 1)
     DEBUG(dbgs() << "  Trip Multiple = " << TripMultiple << "\n");
 
   // Effectively "DCE" unrolled iterations that are beyond the tripcount
   // and will never be executed.
   if (TripCount != 0 && Count > TripCount)
     Count = TripCount;
 
-  // Don't enter the unroll code if there is nothing to do. This way we don't
-  // need to support "partial unrolling by 1".
-  if (TripCount == 0 && Count < 2)
+  // Don't enter the unroll code if there is nothing to do.
+  if (TripCount == 0 && Count < 2 && PeelCount == 0)
     return false;
 
   assert(Count > 0);
   assert(TripMultiple > 0);
   assert(TripCount == 0 || TripCount % TripMultiple == 0);
 
   // Are we eliminating the loop control altogether?
   bool CompletelyUnroll = Count == TripCount;
bool NeedToFixLCSSA = PreserveLCSSA && CompletelyUnroll &&
                           return isa<PHINode>(BB->begin());
                         });
 
   // We assume a run-time trip count if the compiler cannot
   // figure out the loop trip count and the unroll-runtime
   // flag is specified.
   bool RuntimeTripCount = (TripCount == 0 && Count > 0 && AllowRuntime);
 
+  assert((!RuntimeTripCount || !PeelCount) &&
+         "Did not expect runtime trip-count unrolling "
+         "and peeling for the same loop");
+
+  if (PeelCount)
+    peelLoop(L, PeelCount, LI, SE, DT, PreserveLCSSA);
+
   // Loops containing convergent instructions must have a count that divides
   // their TripMultiple.
   DEBUG(
       {
         bool HasConvergent = false;
         for (auto &BB : L->blocks())
           for (auto &I : *BB)
             if (auto CS = CallSite(&I))
               HasConvergent |= CS.isConvergent();
         assert((!HasConvergent || TripMultiple % Count == 0) &&
                "Unroll count must divide trip multiple if loop contains a "
                "convergent operation.");
       });
-  // Don't output the runtime loop remainder if Count is a multiple of
-  // TripMultiple.  Such a remainder is never needed, and is unsafe if the loop
-  // contains a convergent instruction.
+
   if (RuntimeTripCount && TripMultiple % Count != 0 &&
       !UnrollRuntimeLoopRemainder(L, Count, AllowExpensiveTripCount,
                                   UnrollRuntimeEpilog, LI, SE, DT, 
                                   PreserveLCSSA)) {
     if (Force)
       RuntimeTripCount = false;
     else
       return false;
bool llvm::UnrollLoop(Loop *L, unsigned Count, unsigned TripCount, bool Force,
   // Report the unrolling decision.
   if (CompletelyUnroll) {
     DEBUG(dbgs() << "COMPLETELY UNROLLING loop %" << Header->getName()
           << " with trip count " << TripCount << "!\n");
     ORE->emit(OptimizationRemark(DEBUG_TYPE, "FullyUnrolled", L->getStartLoc(),
                                  L->getHeader())
               << "completely unrolled loop with "
               << NV("UnrollCount", TripCount) << " iterations");
+  } else if (PeelCount) {
+    DEBUG(dbgs() << "PEELING loop %" << Header->getName()
+                 << " with iteration count " << PeelCount << "!\n");
+    ORE->emit(OptimizationRemark(DEBUG_TYPE, "Peeled", L->getStartLoc(),
+                                 L->getHeader())
+              << " peeled loop by " << NV("PeelCount", PeelCount)
+              << " iterations");
   } else {
     OptimizationRemark Diag(DEBUG_TYPE, "PartialUnrolled", L->getStartLoc(),
                             L->getHeader());
     Diag << "unrolled loop by a factor of " << NV("UnrollCount", Count);
 
     DEBUG(dbgs() << "UNROLLING loop %" << Header->getName()
           << " by " << Count);
     if (TripMultiple == 0 || BreakoutTrip != TripMultiple) {
bool llvm::UnrollLoop(Loop *L, unsigned Count, unsigned TripCount, bool Force,
   // FIXME: We only preserve DT info for complete unrolling now. Incrementally
   // updating domtree after partial loop unrolling should also be easy.
   if (DT && !CompletelyUnroll)
     DT->recalculate(*L->getHeader()->getParent());
   else if (DT)
     DEBUG(DT->verifyDomTree());
 
   // Simplify any new induction variables in the partially unrolled loop.
-  if (SE && !CompletelyUnroll) {
+  if (SE && !CompletelyUnroll && Count > 1) {
     SmallVector<WeakVH, 16> DeadInsts;
     simplifyLoopIVs(L, SE, DT, LI, DeadInsts);
 
     // Aggressively clean up dead instructions that simplifyLoopIVs already
     // identified. Any remaining should be cleaned up below.
     while (!DeadInsts.empty())
       if (Instruction *Inst =
               dyn_cast_or_null<Instruction>(&*DeadInsts.pop_back_val()))

lib/Transforms/Utils/LoopUnrollPeel.cpp

+//===-- UnrollLoopPeel.cpp - Loop peeling utilities -----------------------===//
+//
+//                     The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+//
+// This file implements some loop unrolling utilities for peeling loops
+// with dynamically inferred (from PGO) trip counts. See LoopUnroll.cpp for
+// unrolling loops with compile-time constant trip counts.
+//
+//===----------------------------------------------------------------------===//
+
+#include "llvm/ADT/Statistic.h"
+#include "llvm/Analysis/LoopIterator.h"
+#include "llvm/Analysis/LoopPass.h"
+#include "llvm/Analysis/ScalarEvolution.h"
+#include "llvm/Analysis/TargetTransformInfo.h"
+#include "llvm/IR/BasicBlock.h"
+#include "llvm/IR/Dominators.h"
+#include "llvm/IR/MDBuilder.h"
+#include "llvm/IR/Metadata.h"
+#include "llvm/IR/Module.h"
+#include "llvm/Support/Debug.h"
+#include "llvm/Support/raw_ostream.h"
+#include "llvm/Transforms/Scalar.h"
+#include "llvm/Transforms/Utils/BasicBlockUtils.h"
+#include "llvm/Transforms/Utils/Cloning.h"
+#include "llvm/Transforms/Utils/LoopUtils.h"
+#include "llvm/Transforms/Utils/UnrollLoop.h"
+#include <algorithm>
+
+using namespace llvm;
+
+#define DEBUG_TYPE "loop-unroll"
+STATISTIC(NumPeeled, "Number of loops peeled");
+
+static cl::opt<unsigned> UnrollPeelMaxCount(
+    "unroll-peel-max-count", cl::init(7), cl::Hidden,
+    cl::desc("Max average trip count which will cause loop peeling."));
+
+static cl::opt<unsigned> UnrollForcePeelCount(
+    "unroll-force-peel-count", cl::init(0), cl::Hidden,
+    cl::desc("Force a peel count regardless of profiling information."));
+
+// Check whether we are capable of peeling this loop.
+static bool canPeel(Loop *L) {
+  // Make sure the loop is in simplified form
+  if (!L->isLoopSimplifyForm())
+    return false;
+
+  // Only peel loops that contain a single exit
+  if (!L->getExitingBlock() || !L->getUniqueExitBlock())
+    return false;
+
+  return true;
+}
+
+// Return the number of iterations we want to peel off.
+void llvm::computePeelCount(Loop *L, unsigned LoopSize,
+                            TargetTransformInfo::UnrollingPreferences &UP) {
+  UP.PeelCount = 0;
+  if (!canPeel(L))
+    return;
+
+  // Only try to peel innermost loops.
+  if (!L->empty())
+    return;
+
+  // If the user provided a peel count, use that.
+  bool UserPeelCount = UnrollForcePeelCount.getNumOccurrences() > 0;
+  if (UserPeelCount) {
+    DEBUG(dbgs() << "Force-peeling first " << UnrollForcePeelCount
+                 << " iterations.\n");
+    UP.PeelCount = UnrollForcePeelCount;
+    return;
+  }
+
+  // If we don't know the trip count, but have reason to believe the average
+  // trip count is low, peeling should be beneficial, since we will usually
+  // hit the peeled section.
+  // We only do this in the presence of profile information, since otherwise
+  // our estimates of the trip count are not reliable enough.
+  if (UP.AllowPeeling && L->getHeader()->getParent()->getEntryCount()) {
+    Optional<unsigned> PeelCount = getLoopEstimatedTripCount(L);
+    if (!PeelCount)
+      return;
+
+    DEBUG(dbgs() << "Profile-based estimated trip count is " << *PeelCount
+                 << "\n");
+
+    if (*PeelCount) {
+      if ((*PeelCount <= UnrollPeelMaxCount) &&
+          (LoopSize * (*PeelCount + 1) <= UP.Threshold)) {
+        DEBUG(dbgs() << "Peeling first " << *PeelCount << " iterations.\n");
+        UP.PeelCount = *PeelCount;
+        return;
+      }
+      DEBUG(dbgs() << "Requested peel count: " << *PeelCount << "\n");
+      DEBUG(dbgs() << "Max peel count: " << UnrollPeelMaxCount << "\n");
+      DEBUG(dbgs() << "Peel cost: " << LoopSize * (*PeelCount + 1) << "\n");
+      DEBUG(dbgs() << "Max peel cost: " << UP.Threshold << "\n");
+    }
+  }
+
+  return;
+}
+
+/// \brief Clones the body of the loop L, putting it between \p InsertTop and \p
+/// InsertBot.
+/// \param IterNumber The serial number of the iteration currently being
+/// peeled off.
+/// \param AvgIters The average number of iterations we expect the loop to have.
+/// \param PreHeader The preheader block of the original loop.
+/// \param Exit The exit block of the original loop.
+/// \param[in,out] PeeledHeaderWeight The total number of dynamic loop
+/// iterations that are unaccounted for. As an input, it represents the number
+/// of times we expect to enter the header of the iteration currently being
+/// peeled off. The output is the number of times we expect to enter the 
+/// header of the next iteration.
+/// \param[out] NewBlocks A list of the the blocks in the newly created clone
+/// \param[out] VMap The value map between the loop and the new clone.
+/// \param LoopBlocks A helper for DFS-traversal of the loop.
+/// \param LVMap A value-map that maps instructions from the original loop to
+/// instructions in the last peeled-off iteration.
+static void cloneLoopBlocks(Loop *L, unsigned IterNumber, unsigned AvgIters,
+                            BasicBlock *InsertTop, BasicBlock *InsertBot,
+                            BasicBlock *PreHeader, BasicBlock *Exit,
+                            uint64_t &PeeledHeaderWeight,
+                            SmallVectorImpl<BasicBlock *> &NewBlocks,
+                            LoopBlocksDFS &LoopBlocks, ValueToValueMapTy &VMap,
+                            ValueToValueMapTy &LVMap, LoopInfo *LI) {
+
+  BasicBlock *Header = L->getHeader();
+  BasicBlock *Latch = L->getLoopLatch();
+
+  Function *F = Header->getParent();
+  LoopBlocksDFS::RPOIterator BlockBegin = LoopBlocks.beginRPO();
+  LoopBlocksDFS::RPOIterator BlockEnd = LoopBlocks.endRPO();
+  Loop *ParentLoop = L->getParentLoop();
+
+  // For each block in the original loop, create a new copy,
+  // and update the value map with the newly created values.
+  for (LoopBlocksDFS::RPOIterator BB = BlockBegin; BB != BlockEnd; ++BB) {
+    BasicBlock *NewBB = CloneBasicBlock(*BB, VMap, ".peel", F);
+    NewBlocks.push_back(NewBB);
+
+    if (ParentLoop)
+      ParentLoop->addBasicBlockToLoop(NewBB, *LI);
+
+    VMap[*BB] = NewBB;
+  }
+
+  // Hook-up the control flow for the newly inserted blocks.
+  // The new header is hooked up directly to the "top", which is either
+  // the original loop preheader (for the first iteration) or the previous
+  // iteration's exiting block (for every other iteration)
+  InsertTop->getTerminator()->setSuccessor(0, cast<BasicBlock>(VMap[Header]));
+
+  // Similarly, for the latch:
+  // The original exiting edge is still hooked up to the loop exit.
+  // The backedge now goes to the "bottom", which is either the loop's real
+  // header (for the last peeled iteration) or the copied header of the next
+  // iteration (for every other iteration)
+  BranchInst *LatchBR =
+      cast<BranchInst>(cast<BasicBlock>(VMap[Latch])->getTerminator());
+  unsigned HeaderIdx = (LatchBR->getSuccessor(0) == Header ? 0 : 1);
+  LatchBR->setSuccessor(HeaderIdx, InsertBot);
+  LatchBR->setSuccessor(1 - HeaderIdx, Exit);
+
+  // Set branch probabilities for the new latch copy.
+  // FIXME: Pick a more realistic distribution.
+  if (PeeledHeaderWeight) {
+    uint64_t FallThruWeight =
+        PeeledHeaderWeight * ((float)(AvgIters - IterNumber) / AvgIters * 0.9);
+    uint64_t ExitWeight = PeeledHeaderWeight - FallThruWeight;
+    PeeledHeaderWeight -= ExitWeight;
+
+    MDBuilder MDB(LatchBR->getContext());
+    MDNode *WeightNode =
+        HeaderIdx ? MDB.createBranchWeights(ExitWeight, FallThruWeight)
+                  : MDB.createBranchWeights(FallThruWeight, ExitWeight);
+    LatchBR->setMetadata(LLVMContext::MD_prof, WeightNode);
+  }
+
+  // Change the incoming values to the ones defined in the preheader or
+  // the previous cloned loop body.
+  for (BasicBlock::iterator I = Header->begin(); isa<PHINode>(I); ++I) {
+    PHINode *NewPHI = cast<PHINode>(VMap[&*I]);
+    if (IterNumber == 0) {
+      VMap[&*I] = NewPHI->getIncomingValueForBlock(PreHeader);
+    } else {
+      Value *LatchVal = NewPHI->getIncomingValueForBlock(Latch);
+      Instruction *LatchInst = dyn_cast<Instruction>(LatchVal);
+      if (LatchInst && L->contains(LatchInst))
+        VMap[&*I] = LVMap[LatchInst];
+      else
+        VMap[&*I] = LatchVal;
+    }
+    cast<BasicBlock>(VMap[Header])->getInstList().erase(NewPHI);
+  }
+
+  // Fix up the outgoing values - we need to add a value for the iteration
+  // we've just created. Note that this must happen *after* the incoming
+  // values are adjusted, since the value going out of the latch may also be
+  // a value coming into the header.
+  for (BasicBlock::iterator I = Exit->begin(); isa<PHINode>(I); ++I) {
+    PHINode *PHI = cast<PHINode>(I);
+    Value *LatchVal = PHI->getIncomingValueForBlock(Latch);
+    Instruction *LatchInst = dyn_cast<Instruction>(LatchVal);
+    if (LatchInst && L->contains(LatchInst))
+      LatchVal = VMap[LatchVal];
+    PHI->addIncoming(LatchVal, cast<BasicBlock>(VMap[Latch]));
+  }
+
+  // LastValueMap is updated with the values for the current loop
+  // which are used the next time this function is called.
+  for (const auto &KV : VMap)
+    LVMap[KV.first] = KV.second;
+}
+
+bool llvm::peelLoop(Loop *L, unsigned PeelCount, LoopInfo *LI,
+                    ScalarEvolution *SE, DominatorTree *DT,
+                    bool PreserveLCSSA) {
+  if (!canPeel(L))
+    return false;
+
+  LoopBlocksDFS LoopBlocks(L);
+  LoopBlocks.perform(LI);
+
+  BasicBlock *Header = L->getHeader();
+  BasicBlock *PreHeader = L->getLoopPreheader();
+  BasicBlock *Latch = L->getLoopLatch();
+  BasicBlock *Exit = L->getUniqueExitBlock();
+
+  Function *F = Header->getParent();
+
+  // Set up all the necessary basic blocks. It is convenient to split the
+  // preheader into 3 parts - two blocks to anchor the peeled copy of the loop
+  // body, and a new preheader for the "real" loop.
+
+  // Peeling the first iteration transforms.
+  //
+  // PreHeader:
+  // ...
+  // Header:
+  //   LoopBody
+  //   If (cond) goto Header
+  // Exit:
+  //
+  // into
+  //
+  // InsertTop:
+  //   LoopBody
+  //   If (!cond) goto Exit
+  // InsertBot:
+  // NewPreHeader:
+  // ...
+  // Header:
+  //  LoopBody
+  //  If (cond) goto Header
+  // Exit:
+  //
+  // Each following iteration will split the current bottom anchor in two,
+  // and put the new copy of the loop body between these two blocks. That is,
+  // after peeling another iteration from the example above, we'll split 
+  // InsertBot, and get:
+  //
+  // InsertTop:
+  //   LoopBody
+  //   If (!cond) goto Exit
+  // InsertBot:
+  //   LoopBody
+  //   If (!cond) goto Exit
+  // InsertBot.next:
+  // NewPreHeader:
+  // ...
+  // Header:
+  //  LoopBody
+  //  If (cond) goto Header
+  // Exit:
+
+  BasicBlock *InsertTop = SplitEdge(PreHeader, Header, DT, LI);
+  BasicBlock *InsertBot =
+      SplitBlock(InsertTop, InsertTop->getTerminator(), DT, LI);
+  BasicBlock *NewPreHeader =
+      SplitBlock(InsertBot, InsertBot->getTerminator(), DT, LI);
+
+  InsertTop->setName(Header->getName() + ".peel.begin");
+  InsertBot->setName(Header->getName() + ".peel.next");
+  NewPreHeader->setName(PreHeader->getName() + ".new");
+
+  ValueToValueMapTy LVMap;
+
+  // If we have branch weight information, we'll want to update it for the
+  // newly created branches.
+  BranchInst *LatchBR =
+      cast<BranchInst>(cast<BasicBlock>(Latch)->getTerminator());
+  unsigned HeaderIdx = (LatchBR->getSuccessor(0) == Header ? 0 : 1);
+
+  uint64_t TrueWeight, FalseWeight;
+  uint64_t ExitWeight = 0, BackEdgeWeight = 0;
+  if (LatchBR->extractProfMetadata(TrueWeight, FalseWeight)) {
+    ExitWeight = HeaderIdx ? TrueWeight : FalseWeight;
+    BackEdgeWeight = HeaderIdx ? FalseWeight : TrueWeight;
+  }
+
+  // For each peeled-off iteration, make a copy of the loop.
+  for (unsigned Iter = 0; Iter < PeelCount; ++Iter) {
+    SmallVector<BasicBlock *, 8> NewBlocks;
+    ValueToValueMapTy VMap;
+
+    // The exit weight of the previous iteration is the header entry weight
+    // of the current iteration. So this is exactly how many dynamic iterations
+    // the current peeled-off static iteration uses up.
+    // FIXME: due to the way the distribution is constructed, we need a
+    // guard here to make sure we don't end up with non-positive weights.
+    if (ExitWeight < BackEdgeWeight)
+      BackEdgeWeight -= ExitWeight;
+    else
+      BackEdgeWeight = 1;
+
+    cloneLoopBlocks(L, Iter, PeelCount, InsertTop, InsertBot, NewPreHeader,
+                    Exit, ExitWeight, NewBlocks, LoopBlocks, VMap, LVMap, LI);
+    InsertTop = InsertBot;
+    InsertBot = SplitBlock(InsertBot, InsertBot->getTerminator(), DT, LI);
+    InsertBot->setName(Header->getName() + ".peel.next");
+
+    F->getBasicBlockList().splice(InsertTop->getIterator(),
+                                  F->getBasicBlockList(),
+                                  NewBlocks[0]->getIterator(), F->end());
+
+    // Remap to use values from the current iteration instead of the
+    // previous one.
+    remapInstructionsInBlocks(NewBlocks, VMap);
+  }
+
+  // Now adjust the phi nodes in the loop header to get their initial values
+  // from the last peeled-off iteration instead of the preheader.
+  for (BasicBlock::iterator I = Header->begin(); isa<PHINode>(I); ++I) {
+    PHINode *PHI = cast<PHINode>(I);
+    Value *NewVal = PHI->getIncomingValueForBlock(Latch);
+    Instruction *LatchInst = dyn_cast<Instruction>(NewVal);
+    if (LatchInst && L->contains(LatchInst))
+      NewVal = LVMap[LatchInst];
+
+    PHI->setIncomingValue(PHI->getBasicBlockIndex(NewPreHeader), NewVal);
+  }
+
+  // Adjust the branch weights on the loop exit.
+  if (ExitWeight) {
+    MDBuilder MDB(LatchBR->getContext());
+    MDNode *WeightNode =
+        HeaderIdx ? MDB.createBranchWeights(ExitWeight, BackEdgeWeight)
+                  : MDB.createBranchWeights(BackEdgeWeight, ExitWeight);
+    LatchBR->setMetadata(LLVMContext::MD_prof, WeightNode);
+  }
+
+  // If the loop is nested, we changed the parent loop, update SE.
+  if (Loop *ParentLoop = L->getParentLoop())
+    SE->forgetLoop(ParentLoop);
+
+  NumPeeled++;
+
+  return true;
+}

lib/Transforms/Utils/LoopUtils.cpp

 Optional<unsigned> llvm::getLoopEstimatedTripCount(Loop *L) {
   // Only support loops with a unique exiting block, and a latch.
   if (!L->getExitingBlock())
     return None;
 
   // Get the branch weights for the the loop's backedge.
   BranchInst *LatchBR =
       dyn_cast<BranchInst>(L->getLoopLatch()->getTerminator());
-  if (!LatchBR || LatchBR->getNumSuccessors() != 2)
+  if (!LatchBR)
     return None;
 
   assert((LatchBR->getSuccessor(0) == L->getHeader() ||
           LatchBR->getSuccessor(1) == L->getHeader()) &&
          "At least one edge out of the latch must go to the header");
 
   // To estimate the number of times the loop body was executed, we want to
   // know the number of times the backedge was taken, vs. the number of times
   // we exited the loop.
   // The branch weights give us almost what we want, since they were adjusted
   // from the raw counts to provide a better probability estimate. Remove
   // the adjustment by subtracting 1 from both weights.
   uint64_t TrueVal, FalseVal;
-  if (!LatchBR->extractProfMetadata(TrueVal, FalseVal) || (TrueVal <= 1) ||
-      (FalseVal <= 1))
+  if (!LatchBR->extractProfMetadata(TrueVal, FalseVal))
     return None;
 
-  TrueVal -= 1;
-  FalseVal -= 1;
+  if (!TrueVal || !FalseVal)
+    return 0;
 
-  // Divide the count of the backedge by the count of the edge exiting the loop.
+  // Divide the count of the backedge by the count of the edge exiting the loop,
+  // rounding to nearest.
   if (LatchBR->getSuccessor(0) == L->getHeader())
-    return TrueVal / FalseVal;
+    return (TrueVal + (FalseVal / 2)) / FalseVal;
   else
-    return FalseVal / TrueVal;
+    return (FalseVal + (TrueVal / 2)) / TrueVal;
 }

test/Transforms/LoopUnroll/peel-loop-pgo.ll

+; RUN: opt < %s -S -debug-only=loop-unroll -loop-unroll -unroll-allow-peeling 2>&1 | FileCheck %s
+; REQUIRES: asserts
+
+; Make sure we use the profile information correctly to peel-off 3 iterations
+; from the loop, and update the branch weights for the peeled loop properly.
+; CHECK: PEELING loop %for.body with iteration count 3!
+; CHECK-LABEL: @basic
+; CHECK: br i1 %{{.*}}, label %[[NEXT0:.*]], label %for.cond.for.end_crit_edge, !prof !1
+; CHECK: [[NEXT0]]:
+; CHECK: br i1 %{{.*}}, label %[[NEXT1:.*]], label %for.cond.for.end_crit_edge, !prof !2
+; CHECK: [[NEXT1]]:
+; CHECK: br i1 %{{.*}}, label %[[NEXT2:.*]], label %for.cond.for.end_crit_edge, !prof !3
+; CHECK: [[NEXT2]]:
+; CHECK: br i1 %{{.*}}, label %for.body, label %{{.*}}, !prof !4
+
+define void @basic(i32* %p, i32 %k) #0 !prof !0 {
+entry:
+  %cmp3 = icmp slt i32 0, %k
+  br i1 %cmp3, label %for.body.lr.ph, label %for.end
+
+for.body.lr.ph:                                   ; preds = %entry
+  br label %for.body
+
+for.body:                                         ; preds = %for.body.lr.ph, %for.body
+  %i.05 = phi i32 [ 0, %for.body.lr.ph ], [ %inc, %for.body ]
+  %p.addr.04 = phi i32* [ %p, %for.body.lr.ph ], [ %incdec.ptr, %for.body ]
+  %incdec.ptr = getelementptr inbounds i32, i32* %p.addr.04, i32 1
+  store i32 %i.05, i32* %p.addr.04, align 4
+  %inc = add nsw i32 %i.05, 1
+  %cmp = icmp slt i32 %inc, %k
+  br i1 %cmp, label %for.body, label %for.cond.for.end_crit_edge, !prof !1
+
+for.cond.for.end_crit_edge:                       ; preds = %for.body
+  br label %for.end
+
+for.end:                                          ; preds = %for.cond.for.end_crit_edge, %entry
+  ret void
+}
+
+!0 = !{!"function_entry_count", i64 1}
+!1 = !{!"branch_weights", i32 3001, i32 1001}
+
+;CHECK: !1 = !{!"branch_weights", i32 900, i32 101}
+;CHECK: !2 = !{!"branch_weights", i32 540, i32 360}
+;CHECK: !3 = !{!"branch_weights", i32 162, i32 378}
+;CHECK: !4 = !{!"branch_weights", i32 560, i32 162}
+

test/Transforms/LoopUnroll/peel-loop.ll

+; RUN: opt < %s -S -loop-unroll -unroll-force-peel-count=3 -simplifycfg -instcombine | FileCheck %s
+
+; Basic loop peeling - check that we can peel-off the first 3 loop iterations
+; when explicitly requested.
+; CHECK-LABEL: @basic
+; CHECK: %[[CMP0:.*]] = icmp sgt i32 %k, 0
+; CHECK: br i1 %[[CMP0]], label %[[NEXT0:.*]], label %for.end
+; CHECK: [[NEXT0]]:
+; CHECK: store i32 0, i32* %p, align 4
+; CHECK: %[[CMP1:.*]] = icmp eq i32 %k, 1
+; CHECK: br i1 %[[CMP1]], label %for.end, label %[[NEXT1:.*]]
+; CHECK: [[NEXT1]]:
+; CHECK: %[[INC1:.*]] = getelementptr inbounds i32, i32* %p, i64 1
+; CHECK: store i32 1, i32* %[[INC1]], align 4
+; CHECK: %[[CMP2:.*]] = icmp sgt i32 %k, 2
+; CHECK: br i1 %[[CMP2]], label %[[NEXT2:.*]], label %for.end
+; CHECK: [[NEXT2]]:
+; CHECK: %[[INC2:.*]] = getelementptr inbounds i32, i32* %p, i64 2
+; CHECK: store i32 2, i32* %[[INC2]], align 4
+; CHECK: %[[CMP3:.*]] = icmp eq i32 %k, 3
+; CHECK: br i1 %[[CMP3]], label %for.end, label %[[LOOP:.*]]
+; CHECK: [[LOOP]]:
+; CHECK: %[[IV:.*]] = phi i32 [ {{.*}}, %[[LOOP]] ], [ 3, %[[NEXT2]] ]
+
+define void @basic(i32* %p, i32 %k) #0 {
+entry:
+  %cmp3 = icmp slt i32 0, %k
+  br i1 %cmp3, label %for.body.lr.ph, label %for.end
+
+for.body.lr.ph:                                   ; preds = %entry
+  br label %for.body
+
+for.body:                                         ; preds = %for.body.lr.ph, %for.body
+  %i.05 = phi i32 [ 0, %for.body.lr.ph ], [ %inc, %for.body ]
+  %p.addr.04 = phi i32* [ %p, %for.body.lr.ph ], [ %incdec.ptr, %for.body ]
+  %incdec.ptr = getelementptr inbounds i32, i32* %p.addr.04, i32 1
+  store i32 %i.05, i32* %p.addr.04, align 4
+  %inc = add nsw i32 %i.05, 1
+  %cmp = icmp slt i32 %inc, %k
+  br i1 %cmp, label %for.body, label %for.cond.for.end_crit_edge
+
+for.cond.for.end_crit_edge:                       ; preds = %for.body
+  br label %for.end
+
+for.end:                                          ; preds = %for.cond.for.end_crit_edge, %entry
+  ret void
+}
+
+; Make sure peeling works correctly when a value defined in a loop is used
+; in later code - we need to correctly plumb the phi depending on which
+; iteration is actually used.
+; CHECK-LABEL: @output
+; CHECK: %[[CMP0:.*]] = icmp sgt i32 %k, 0
+; CHECK: br i1 %[[CMP0]], label %[[NEXT0:.*]], label %for.end
+; CHECK: [[NEXT0]]:
+; CHECK: store i32 0, i32* %p, align 4
+; CHECK: %[[CMP1:.*]] = icmp eq i32 %k, 1
+; CHECK: br i1 %[[CMP1]], label %for.end, label %[[NEXT1:.*]]
+; CHECK: [[NEXT1]]:
+; CHECK: %[[INC1:.*]] = getelementptr inbounds i32, i32* %p, i64 1
+; CHECK: store i32 1, i32* %[[INC1]], align 4
+; CHECK: %[[CMP2:.*]] = icmp sgt i32 %k, 2
+; CHECK: br i1 %[[CMP2]], label %[[NEXT2:.*]], label %for.end
+; CHECK: [[NEXT2]]:
+; CHECK: %[[INC2:.*]] = getelementptr inbounds i32, i32* %p, i64 2
+; CHECK: store i32 2, i32* %[[INC2]], align 4
+; CHECK: %[[CMP3:.*]] = icmp eq i32 %k, 3
+; CHECK: br i1 %[[CMP3]], label %for.end, label %[[LOOP:.*]]
+; CHECK: [[LOOP]]:
+; CHECK: %[[IV:.*]] = phi i32 [ %[[IV:.*]], %[[LOOP]] ], [ 3, %[[NEXT2]] ]
+; CHECK: %ret = phi i32 [ 0, %entry ], [ 1, %[[NEXT0]] ], [ 2, %[[NEXT1]] ], [ 3, %[[NEXT2]] ], [ %[[IV]], %[[LOOP]] ]
+; CHECK: ret i32 %ret
+define i32 @output(i32* %p, i32 %k) #0 {
+entry:
+  %cmp3 = icmp slt i32 0, %k
+  br i1 %cmp3, label %for.body.lr.ph, label %for.end
+
+for.body.lr.ph:                                   ; preds = %entry
+  br label %for.body
+
+for.body:                                         ; preds = %for.body.lr.ph, %for.body
+  %i.05 = phi i32 [ 0, %for.body.lr.ph ], [ %inc, %for.body ]
+  %p.addr.04 = phi i32* [ %p, %for.body.lr.ph ], [ %incdec.ptr, %for.body ]
+  %incdec.ptr = getelementptr inbounds i32, i32* %p.addr.04, i32 1
+  store i32 %i.05, i32* %p.addr.04, align 4
+  %inc = add nsw i32 %i.05, 1
+  %cmp = icmp slt i32 %inc, %k
+  br i1 %cmp, label %for.body, label %for.cond.for.end_crit_edge
+
+for.cond.for.end_crit_edge:                       ; preds = %for.body
+  br label %for.end
+
+for.end:                                          ; preds = %for.cond.for.end_crit_edge, %entry
+  %ret = phi i32 [ 0, %entry], [ %inc, %for.cond.for.end_crit_edge ]
+  ret i32 %ret
+}