We only need the C++ type and the corresponding TF Enum. The other
parameter was used for the output spec json file, but we can just
standardize on the C++ type name there.
Differential Revision: https://reviews.llvm.org/D86549
This patch helps getGuaranteedNonPoisonOp find multiple non-poison operands.
Instead of special-casing llvm.assume, I think it is also a viable option to
add noundef to Intrinsics.td. If it makes sense, I'll make a patch for that.
Reviewed By: jdoerfert
Differential Revision: https://reviews.llvm.org/D86477
We're not changing IR while running a single MemDep query, so it's
safe to cache alias analysis results using BatchAA. This adds BatchAA
usage to getSimplePointerDependencyFrom(), which is non-intrusive --
covering larger parts (like a whole processNonLocalLoad query) is
also possible, but requires threading BatchAA through a bunch of APIs.
For the ThinLTO configuration, this is a 1% geomean improvement on CTMark.
Differential Revision: https://reviews.llvm.org/D85583
Summary: The LCSSA pass (required for all loop passes) sometimes adds
additional blocks containing LCSSA variables, and checkLoopsStructure
may return false even when the loops are perfectly nested in this case.
This is because the successor of the exit block of the inner loop now
points to the LCSSA block instead of the latch block of the outer loop.
Examples are shown in the test nests-with-lcssa.ll.
To fix the issue, the successor of the exit block of the inner loop can
now point to a block in which all instructions are LCSSA phi node
(except the terminator), and the sole successor of that block should
point to the latch block of the outer loop.
Reviewed By: Whitney, etiotto
Differential Revision: https://reviews.llvm.org/D86133
If we use training algorithms that don't need partial rewards, we don't
need to worry about an ir2native model. In that case, training logs
won't contain a 'delta_size' feature either (since that's the partial
reward).
Differential Revision: https://reviews.llvm.org/D86481
Extend the `applyUpdates` in DominatorTree to allow a post CFG view,
different from the current CFG.
This patch implements the functionality of updating an already up to
date DT, to the desired PostCFGView.
Combining a set of updates towards an up to date DT and a PostCFGView is
not yet supported.
Differential Revision: https://reviews.llvm.org/D85472
The legacy PM alias analysis pipeline by default includes basic-aa.
When running `opt -foo-pass` under the NPM and -disable-basic-aa is not
specified, use basic-aa.
This decreases the number of check-llvm failures under NPM from 913 to 752.
Reviewed By: ychen, asbirlea
Differential Revision: https://reviews.llvm.org/D86167
Both AfterPass and AfterPassInvalidated pass instrumentation
callbacks get additional parameter of type PreservedAnalyses.
This patch was created by @fedor.sergeev. I have just slightly
changed it.
Reviewers: fedor.sergeev
Differential Revision: https://reviews.llvm.org/D81555
As part of D84741, this adds a target hook for the
preferPredicatedReductionSelect option and makes use
of it under MVE, allowing us to tail predicate most
reduction loops.
Differential Revision: https://reviews.llvm.org/D85980
There's a potential motivating case to increase this limit in PR47191:
http://bugs.llvm.org/PR47191
But first we should make it less hacky. The limit in InstCombine is directly tied
to this value because an increase there can cause asserts in the underlying value
tracking calls if not changed together. The usage in VectorUtils is independent,
but the comment suggests that we should use the same value unless there's a known
reason to diverge. There are similar limits in codegen analysis, but I think we
should leave those independent in case we intentionally want the optimization
power/cost to be different there.
Differential Revision: https://reviews.llvm.org/D86113
Different training algorithms may produce models that, besides the main
policy output (i.e. inline/don't inline), produce additional outputs
that are necessary for the next training stage. To facilitate this, in
development mode, we require the training policy infrastructure produce
a description of the outputs that are interesting to it, in the form of
a JSON file. We special-case the first entry in the JSON file as the
inlining decision - we care about its value, so we can guide inlining
during training - but treat the rest as opaque data that we just copy
over to the training log.
Differential Revision: https://reviews.llvm.org/D85674
this bug was causing miscompile.
now clang cant properly selfhost with -mllvm --enable-knowledge-retention
Reviewed By: jdoerfert, lebedev.ri
Differential Revision: https://reviews.llvm.org/D83507
The current demand propagator for addition will mark all input bits at and right of the alive output bit as alive. But carry won't propagate beyond a bit for which both operands are zero (or one/zero in the case of subtraction) so a more accurate answer is possible given known bits.
I derived a propagator by working through truth tables and using a bit-reversed addition to make demand ripple to the right, but I'm not sure how to make a convincing argument for its correctness in the comments yet. Nevertheless, here's a minimal implementation and test to get feedback.
This would help in a situation where, for example, four bytes (<128) packed into an int are added with four others SIMD-style but only one of the four results is actually read.
Known A: 0_______0_______0_______0_______
Known B: 0_______0_______0_______0_______
AOut: 00000000001000000000000000000000
AB, current: 00000000001111111111111111111111
AB, patch: 00000000001111111000000000000000
Committed on behalf of: @rrika (Erika)
Differential Revision: https://reviews.llvm.org/D72423
If we can't identify alloca used in lifetime marker we
need to assume to worst case scenario.
Reviewed By: eugenis
Differential Revision: https://reviews.llvm.org/D84630
This change added a new inline advisor that takes optimization remarks from previous inlining as input, and provides the decision as advice so current inlining can replay inline decisions of a different compilation. Dwarf inline stack with line and discriminator is used as anchor for call sites including call context. The change can be useful for Inliner tuning as it provides a channel to allow external input for tweaking inline decisions. Existing alternatives like alwaysinline attribute is per-function, not per-callsite. Per-callsite inline intrinsic can be another solution (not yet existing), but it's intrusive to implement and also does not differentiate call context.
A switch -sample-profile-inline-replay=<inline_remarks_file> is added to hook up the new inline advisor with SampleProfileLoader's inline decision for replay. Since SampleProfileLoader does top-down inlining, inline decision can be specialized for each call context, hence we should be able to replay inlining accurately. However with a bottom-up inliner like CGSCC inlining, the replay can be limited due to lack of specialization for different call context. Apart from that limitation, the new inline advisor can still be used by regular CGSCC inliner later if needed for tuning purpose.
This is a resubmit of https://reviews.llvm.org/D83743
This avoid GUID lookup in Index.findSummaryInModule.
Follow up for D81242.
Reviewed By: tejohnson
Differential Revision: https://reviews.llvm.org/D85269
Similarly as for pointers, even for integers a == b is usually false.
GCC also uses this heuristic.
Reviewed By: ebrevnov
Differential Revision: https://reviews.llvm.org/D85781
Similarly as for pointers, even for integers a == b is usually false.
GCC also uses this heuristic.
Reviewed By: ebrevnov
Differential Revision: https://reviews.llvm.org/D85781
Similarly as for pointers, even for integers a == b is usually false.
GCC also uses this heuristic.
Reviewed By: ebrevnov
Differential Revision: https://reviews.llvm.org/D85781
This reverts commit e441b7a7a0a72c28daf5a8e594559c667e5b4534.
This patch causes a compile error in tensorflow opensource project. The stack trace looks like:
Point of crash:
llvm/include/llvm/Analysis/LoopInfoImpl.h : line 35
(gdb) ptype *this
type = const class llvm::LoopBase<llvm::BasicBlock, llvm::Loop> [with BlockT = llvm::BasicBlock, LoopT = llvm::Loop]
(gdb) p *this
$1 = {ParentLoop = 0x0, SubLoops = std::vector of length 0, capacity 0, Blocks = std::vector of length 0, capacity 1,
DenseBlockSet = {<llvm::SmallPtrSetImpl<llvm::BasicBlock const*>> = {<llvm::SmallPtrSetImplBase> = {<llvm::DebugEpochBase> = {Epoch = 3}, SmallArray = 0x1b2bf6c8, CurArray = 0x1b2bf6c8,
CurArraySize = 8, NumNonEmpty = 0, NumTombstones = 0}, <No data fields>}, SmallStorage = {0xfffffffffffffffe, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0}}, IsInvalid = true}
(gdb) p *this->DenseBlockSet->CurArray
$2 = (const void *) 0xfffffffffffffffe
I will try to get a case from tensorflow or use creduce to get a small case.
This recommits the following patches now that D85684 has landed
1cf6f210a2e [IR] Disable select ? C : undef -> C fold in ConstantFoldSelectInstruction unless we know C isn't poison.
469da663f2d [InstSimplify] Re-enable select ?, undef, X -> X transform when X is provably not poison
122b0640fc9 [InstSimplify] Don't fold vectors of partial undef in SimplifySelectInst if the non-undef element value might produce poison
ac0af12ed2f [InstSimplify] Add test cases for opportunities to fold select ?, X, undef -> X when we can prove X isn't poison
9b1e95329af [InstSimplify] Remove select ?, undef, X -> X and select ?, X, undef -> X transforms
Now that SCEVExpander can preserve LCSSA form,
we do not have to worry about LCSSA form when
trying to look through PHIs. SCEVExpander will take
care of inserting LCSSA PHI nodes as required.
This increases precision of the analysis in some cases.
Reviewed By: mkazantsev, bmahjour
Differential Revision: https://reviews.llvm.org/D71539
Similar to what we do in IIQ, add an isUndefValue() helper that
checks for undef values while respective CanUseUndef. This makes
it much easier to search for places that don't respect the flag
yet.
This is the replacement for D84250 based on D84792. As we recursively
fold with the same value twice, we need to disable undef folds,
to prevent an undef from being folded to two different values.
Reverting rG00f3579aea6e3d4a4b7464c3db47294f71cef9e4 and using the
test case from https://reviews.llvm.org/D83360#2145793, it no longer
performs the incorrect fold.
Differential Revision: https://reviews.llvm.org/D85684
I think this is the last remaining translation of an existing
instcombine transform for the corresponding cmp+sel idiom.
This interpretation is more general though - we can remove
mismatched signed/unsigned combinations in addition to the
more obvious cases.
min/max(X, Y) must produce X or Y as the result, so this is
just another clause in the existing transform that was already
matching a min/max of min/max.
This is the max version of D85046.
This change causes binary changes in 44 out of 237 benchmarks (out of
MultiSource/SPEC2000/SPEC2006)
Reviewed By: lebedev.ri
Differential Revision: https://reviews.llvm.org/D85189
This patch makes getEdgeValueLocal more precise when a freeze instruction is
given, by adding support for freeze into constantFoldUser
Reviewed By: efriedma
Differential Revision: https://reviews.llvm.org/D84629
Constant fold both the trapping and saturating versions of the
WebAssembly truncation intrinsics. The tests are adapted from the
WebAssembly spec tests for the corresponding instructions.
Requested in PR46982.
Differential Revision: https://reviews.llvm.org/D85392
This allows us to subsequently configure the logger for the case when we
use a model evaluator and want to log additional outputs.
Differential Revision: https://reviews.llvm.org/D85577
