Just like llvm.assume, there are a lot of cases where we can just ignore llvm.experimental.noalias.scope.decl.
Reviewed By: nikic
Differential Revision: https://reviews.llvm.org/D93042
Split impliesPoison into two recursive walks, one over V, the
other over ValAssumedPoison. This allows us to reason about poison
implications in a number of additional cases that are important
in practice. This is a generalized form of D94859, which handles
the cmp to cmp implication in particular.
Differential Revision: https://reviews.llvm.org/D94866
This patch
- Adds containsPoisonElement that checks existence of poison in constant vector elements,
- Renames containsUndefElement to containsUndefOrPoisonElement to clarify its behavior & updates its uses properly
With this patch, isGuaranteedNotToBeUndefOrPoison's tests w.r.t constant vectors are added because its analysis is improved.
Thanks!
Reviewed By: nikic
Differential Revision: https://reviews.llvm.org/D94053
This PR adds impliesPoison(ValAssumedPoison, V) that returns true if V is
poison under the assumption that ValAssumedPoison is poison.
For example, impliesPoison('icmp X, 10', 'icmp X, Y') return true because
'icmp X, Y' is poison if 'icmp X, 10' is poison.
impliesPoison can be used for sound optimization of select, as discussed in
D77868.
Reviewed By: nikic
Differential Revision: https://reviews.llvm.org/D78152
Confusingly, BinaryOperator is not an Operator,
OverflowingBinaryOperator is... We were implicitly assuming that
the multiply is an Instruction here.
This fixes the assertion failure reported in
https://reviews.llvm.org/D92726#2472827.
This patch updates isImpliedCondition/isKnownNonZero to look into select form of
and/or as well.
See llvm.org/pr48353 and D93065 for more context
Reviewed By: nikic
Differential Revision: https://reviews.llvm.org/D93845
In 35676a4f9a I've added handling for
non-trivial dominating conditions that imply non-zero on the true
branch. This adds the same support for the false branch.
The changes in pr45360.ll change block ordering and naming, but
don't change the control flow. The urem is still guaraded by a
non-zero check correctly.
The dominating condition handling in isKnownNonZero() currently
only takes into account conditions of the form "x != 0" or "x == 0".
However, there are plenty of other conditions that imply non-zero,
a common one being "x s> 0".
Peculiarly, the handling for assumes was already dealing with more
general non-zero-ness conditions, so this just reuses the same
logic for the dominating condition case.
Build on the work started in 8f07629, and add the multiply case. In the process, more clearly describe the requirement for the operation we're looking through.
Differential Revision: https://reviews.llvm.org/D92726
The basic idea is that by looking through operand instructions which don't change the equality result that we can push the existing known bits comparison down past instructions which would obscure them.
We have analogous handling in InstSimplify for most - though weirdly not all - of these cases starting from an icmp root. It's a bit unfortunate to duplicate logic, but since my actual goal is to extend BasicAA, the icmp logic doesn't help. (And just makes it hard to test here.) The BasicAA change will be posted separately for review.
Differential Revision: https://reviews.llvm.org/D92698
This change introduces a new IR intrinsic named `llvm.pseudoprobe` for pseudo-probe block instrumentation. Please refer to https://reviews.llvm.org/D86193 for the whole story.
A pseudo probe is used to collect the execution count of the block where the probe is instrumented. This requires a pseudo probe to be persisting. The LLVM PGO instrumentation also instruments in similar places by placing a counter in the form of atomic read/write operations or runtime helper calls. While these operations are very persisting or optimization-resilient, in theory we can borrow the atomic read/write implementation from PGO counters and cut it off at the end of compilation with all the atomics converted into binary data. This was our initial design and we’ve seen promising sample correlation quality with it. However, the atomics approach has a couple issues:
1. IR Optimizations are blocked unexpectedly. Those atomic instructions are not going to be physically present in the binary code, but since they are on the IR till very end of compilation, they can still prevent certain IR optimizations and result in lower code quality.
2. The counter atomics may not be fully cleaned up from the code stream eventually.
3. Extra work is needed for re-targeting.
We choose to implement pseudo probes based on a special LLVM intrinsic, which is expected to have most of the semantics that comes with an atomic operation but does not block desired optimizations as much as possible. More specifically the semantics associated with the new intrinsic enforces a pseudo probe to be virtually executed exactly the same number of times before and after an IR optimization. The intrinsic also comes with certain flags that are carefully chosen so that the places they are probing are not going to be messed up by the optimizer while most of the IR optimizations still work. The core flags given to the special intrinsic is `IntrInaccessibleMemOnly`, which means the intrinsic accesses memory and does have a side effect so that it is not removable, but is does not access memory locations that are accessible by any original instructions. This way the intrinsic does not alias with any original instruction and thus it does not block optimizations as much as an atomic operation does. We also assign a function GUID and a block index to an intrinsic so that they are uniquely identified and not merged in order to achieve good correlation quality.
Let's now look at an example. Given the following LLVM IR:
```
define internal void @foo2(i32 %x, void (i32)* %f) !dbg !4 {
bb0:
%cmp = icmp eq i32 %x, 0
br i1 %cmp, label %bb1, label %bb2
bb1:
br label %bb3
bb2:
br label %bb3
bb3:
ret void
}
```
The instrumented IR will look like below. Note that each `llvm.pseudoprobe` intrinsic call represents a pseudo probe at a block, of which the first parameter is the GUID of the probe’s owner function and the second parameter is the probe’s ID.
```
define internal void @foo2(i32 %x, void (i32)* %f) !dbg !4 {
bb0:
%cmp = icmp eq i32 %x, 0
call void @llvm.pseudoprobe(i64 837061429793323041, i64 1)
br i1 %cmp, label %bb1, label %bb2
bb1:
call void @llvm.pseudoprobe(i64 837061429793323041, i64 2)
br label %bb3
bb2:
call void @llvm.pseudoprobe(i64 837061429793323041, i64 3)
br label %bb3
bb3:
call void @llvm.pseudoprobe(i64 837061429793323041, i64 4)
ret void
}
```
Reviewed By: wmi
Differential Revision: https://reviews.llvm.org/D86490
These are all lightweight to compute and helps avoid issues with Known being used to hold both the shift amount and then the shifted result.
Minor cleanup for D90479.
ValueTracking was using a more powerful abs() implementation. Roll
it into KnownBits::abs(). Also add an exhaustive test for abs(),
in both the poisoning and non-poisoning variants.
When computing the known bits for a GEP, don't set the nsw flag
when adding an offset to an address. The nsw flag only applies to
pure offset additions (see also D90708).
The nsw flag is only used in a very minor way by the code, to the
point that I was not able to come up with a test case where it
makes a difference.
Differential Revision: https://reviews.llvm.org/D90637
Another cleanup for D90479 - handle the Known Ones/Zeros in a single callback, which will make it much easier to jump over to the KnownBits shift handling.
We have a frequent pattern where we're merging two KnownBits to get the common/shared bits, and I just fell for the gotcha where I tried to use the & operator to merge them........
Avoid an expensive isKnownNonZero() call - this is a small cleanup before moving the extra NSW functionality from computeKnownBitsMul into KnownBits::computeForMul.
This reverts the revert commit a1b53db324.
This patch includes a fix for a reported issue, caused by
matchSelectPattern returning UMIN for selects of pointers in
some cases by looking to some connected casts.
For now, ensure integer instrinsics are only returned for selects of
ints or int vectors.
This reverts commit 1922570489.
This appears to cause a crash in the following example
a, b, c;
l() {
int e = a, f = l, g, h, i, j;
float *d = c, *k = b;
for (;;)
for (; g < f; g++) {
k[h] = d[i];
k[h - 1] = d[j];
h += e << 1;
i += e;
}
}
clang -cc1 -triple i386-unknown-linux-gnu -emit-obj -target-cpu pentium-m -O1 -vectorize-loops -vectorize-slp reduced.c
llvm::Type *llvm::Type::getWithNewBitWidth(unsigned int) const: Assertion `isIntOrIntVectorTy() && "Original type expected to be a vector of integers or a scalar integer."' failed.
Some architectures do not have general vector select instructions (e.g.
AArch64). But some cmp/select patterns can be vectorized using other
instructions/intrinsics.
One example is using min/max instructions for certain patterns.
This patch updates the cost calculations for selects in the SLP
vectorizer to consider using min/max intrinsics.
This patch does not change SLP vectorizer's codegen itself to actually
generate those intrinsics, but relies on the backends to lower the
vector cmps & selects. This keeps things simple on the SLP side and
works well in practice for AArch64.
This exposes additional SLP vectorization opportunities in some
benchmarks on AArch64 (-O3 -flto).
Metric: SLP.NumVectorInstructions
Program base slp diff
test-suite...ications/JM/ldecod/ldecod.test 502.00 697.00 38.8%
test-suite...ications/JM/lencod/lencod.test 1023.00 1414.00 38.2%
test-suite...-typeset/consumer-typeset.test 56.00 65.00 16.1%
test-suite...6/464.h264ref/464.h264ref.test 804.00 822.00 2.2%
test-suite...006/453.povray/453.povray.test 3335.00 3357.00 0.7%
test-suite...CFP2000/177.mesa/177.mesa.test 2110.00 2121.00 0.5%
test-suite...:: External/Povray/povray.test 2378.00 2382.00 0.2%
Reviewed By: RKSimon, samparker
Differential Revision: https://reviews.llvm.org/D89969
This patch is to add the support of the value tracking of the alignment assume bundle.
Reviewed By: jdoerfert
Differential Revision: https://reviews.llvm.org/D88669
As discussed in D89952,
instcombine can sometimes find a way to reduce similar patterns,
but it is incomplete.
InstSimplify uses the computeConstantRange() ValueTracking analysis
via simplifyICmpWithConstant(), so we just need to fill in the max
value of cttz to process any "icmp pred cttz(X), C" pattern (the
min value is initialized to zero automatically).
https://alive2.llvm.org/ce/z/Z_SLWZ
Follow-up to D89976.
As discussed in D89952,
instcombine can sometimes find a way to reduce similar patterns,
but it is incomplete.
InstSimplify uses the computeConstantRange() ValueTracking analysis
via simplifyICmpWithConstant(), so we just need to fill in the max
value of ctlz to process any "icmp pred ctlz(X), C" pattern (the
min value is initialized to zero automatically).
Follow-up to D89976.
As discussed in D89952,
instcombine can sometimes find a way to reduce similar patterns,
but it is incomplete.
InstSimplify uses the computeConstantRange() ValueTracking analysis
via simplifyICmpWithConstant(), so we just need to fill in the max
value of ctpop to process any "icmp pred ctpop(X), C" pattern (the
min value is initialized to zero automatically).
Differential Revision: https://reviews.llvm.org/D89976
Prior to this patch, computeKnownBits would only try to deduce trailing zeros
bits for getelementptrs. This patch adds the logic to treat geps as a series
of add * scaling factor.
Thanks to this patch, using a gep or performing an address computation
directly "by hand" (ptrtoint followed by adds and mul followed by inttoptr)
offers the same computeKnownBits information.
Previously, the "by hand" approach would have given more information.
This is related to https://llvm.org/PR47241.
Differential Revision: https://reviews.llvm.org/D86364
This patch adds metadata !noundef and makes load instructions can optionally have it.
A load with !noundef always return a well-defined value (has no undef bit or isn't poison).
If the loaded value isn't well defined, the behavior is undefined.
This metadata can be used to encode the assumption from C/C++ that certain reads of variables should have well-defined values.
It is helpful for optimizing freeze instructions away, because freeze can be removed when its operand has well-defined value, and showing that a load from arbitrary location is well-defined is usually hard otherwise.
The same information can be encoded with llvm.assume with operand bundle; using metadata is chosen because I wasn't sure whether code motion can be freely done when llvm.assume is inserted from clang instead.
The existing codebase already is stripping unknown metadata when doing code motion, so using metadata is UB-safe as well.
Reviewed By: jdoerfert
Differential Revision: https://reviews.llvm.org/D89050
TypeSize comparisons using overloaded operators should be replaced by
the new isKnownXY comparators when the operands can be fixed-length or
scalable vectors.
In ValueTracking there are several uses of the overloaded operators in
`isKnownNonZero` and `ComputeMultiple`. In the former we already bail
out on scalable vectors since we currently have no way to represent
DemandedElts, and the latter is operating on scalar integers, so we can
assume fixed-size in both instances.
Reviewed By: david-arm
Differential Revision: https://reviews.llvm.org/D89387
This patch refactors the logic in ValueTracking.cpp so that
computeKnownBitsForMul now uses a helper function from KnownBits.
NFC
Differential Revision: https://reviews.llvm.org/D88935
Handle the case when all inputs of phi are proven to be non zero.
Constants are checked in beginning of this method before check for depth of recursion,
so it is a partial case of non-constant phi.
Recursion depth is already handled by the function.
Reviewers: aqjune, nikic, efriedma
Reviewed By: nikic
Subscribers: dantrushin, hiraditya, jdoerfert, llvm-commits
Differential Revision: https://reviews.llvm.org/D88276
Jeroen Dobbelaere