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[flang][OpenMP] Extend do concurrent
mapping to device.
#50
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LGTM
Thanks @mjklemm for the review. Had some difficulty merging with ATD, but now merged and should be ready for review again in case somebody else in addition to Michael has time for review. |
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Thank you Kareem for this work. I seem to be a bit too slow today to actually understand everything that's going on here, but I left you some of my thoughts going through it. In any case, it looks like a good step to get there. I'll probably better leave it to @agozillon to comment on the map-related part of the PR.
One thing to note is that this approach will have to change a bit with the next merge from main, which will hopefully already bring the changes to omp.wsloop
. The main conflict with your work will be that omp.wsloop %i... { body }
will have to be replaced by omp.wsloop { omp.loop_nest %i... { body } }
and no operations will be allowed between the nested omp.distribute
, omp.parallel
, omp.wsloop
and omp.loop_nest
operations because they would be loop wrappers representing a composite construct. I'm not sure how long it will be before that happens, but I'm hoping for about a week, depending on reviews and so on. If it's not too much of a blocker for you, I'd prefer if you could wait until then before merging this (even if it's ready before), so that any conflicts specific to your PR can be addressed separately, I could help your with that as well.
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Nit: I suppose moving flang/include/Lower/OpenMP.h to flang/include/Lower/OpenMP/OpenMP.h would be in order as well (just to keep things consistent between the lib/ and include/ directories). If you do, remember to update the include guard on that file.
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To reduce the pain for anyone merging from upstream, I prefer to avoid doing that for now. Maybe we should replicate the header reorganization upstream first?
// the parallel region. For example, if the value of a bound is defined by a | ||
// `fir.convert`op, this lambda clones the `fir.convert` as well as the | ||
// value it converts from. We do this since `omp.target` regions are | ||
// isolated from above. |
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I think it makes sense to copy the ops related to constants and type casts into the target region (rather than just before omp.wsloop
, since that means introducing operations between the leaf constructs of a composite, which will be disallowed by loop wrappers), but shouldn't everything be already mapped and present as an entry block argument to omp.target
by this time, due to it being detected as a live-in value?
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I think one issue that may arise, is that map operations only take pointer-like values, Index values are not mappable (you can circumvent this by creating the right operations to load it into memory (so convert it to a ref) and pass that instead I would imagine), there was some contention with this when @TIFitis tried to do it originally, so we rolled back to just using pointer-like arguments in map operations.
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but shouldn't everything be already mapped and present as an entry block argument to omp.target by this time, due to it being detected as a live-in value?
For the simple cases I tested so far, this is not the situation since LB, UB, step and constants; so they are not detected as live-ins. Only the induction variable is a live-in.
I think it makes sense to copy the ops related to constants and type casts into the target region (rather than just before omp.wsloop,
If you don't mind, I will leave that until we merge your work on composite constructs from upstream.
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LGTM, some minor comments here and there, mostly just some info dumping and two nits, one of which is up to you what you'd like to do :-)
Of course, please do wait on @skatrak's approval before going forward!
@@ -50,7 +50,7 @@ using DeclareTargetCapturePair = | |||
const Fortran::semantics::Symbol &>; | |||
|
|||
mlir::omp::MapInfoOp | |||
createMapInfoOp(fir::FirOpBuilder &builder, mlir::Location loc, | |||
createMapInfoOp(mlir::OpBuilder &builder, mlir::Location loc, |
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I'm not against changing this to the more generic mlir::OpBuilder, but I am wondering if we should just keep it the same as most of the other flang utilities to keep it somewhat standardized, but I'll leave that up to you!
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That will come a small additional cost of having to replicate FirOpBuilder::createIntegerConstant
's logic. Not much work but I would prefer to keep the FirOpBuilder
parameter.
// TODO I think this caluclation might not be correct. But this is how | ||
// it is done in PFT->OpenMP lowering. So keeping it like this until we | ||
// double check. | ||
mlir::Value ub = |
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You can likely verify the calculation in the DirectiveCommons.h code where the bounds are generated, and if still in doubt fire a message towards one of the OpenACC guys who created it, there's been a bug or two before, but they're generally quite good at clarifying things :-)
But I suppose if the lower bound is 0, and the extent is the max size of a dimension, you'd get the upper bound, but the subtraction seems like extra legwork at a minimum here I think, as you could just take the extent I would imagine.
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Makes sense. Thanks for pointing out who to contact. I will leave it for now until we hit the (potential) issue.
return result; | ||
}(); | ||
|
||
return Fortran::lower::omp::createMapInfoOp( |
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The map code looks reasonable for the moment! I would just advise that you make sure this pass occurs prior to the OpenMP descriptor pass otherwise the descriptor types (allocatables et al) that are captured won't be expanded appropriately which will result in them not being mapped correctly. I think that should be enough to have these types mapped implicitly.
You probably already have the passes pipelined like this but just wanted to make sure!
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This little segment of code will also need to maintain lockstep with any changes to the implicit mapping in the OpenMP lowering as well unfortunately. There is nothing new yet, but there likely will be in the future but I can perhaps update this or keep you informed of any changes I make (or I see being made) :-)
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This little segment of code will also need to maintain lockstep ...
Unfortunately, yes. I don't really like that as we discussed on Teams awhile back 😞. I think we might have to reopen that discussion in the future and try to find a way that bridges the gap between the PFT and MLIR worlds to allow code reuse here.
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I would just advise that you make sure this pass occurs prior to the OpenMP descriptor pass otherwise the descriptor types (allocatables et al) that are captured won't be expanded appropriately which will result in them not being mapped correctly.
Thanks for pointing that out. I switched the 2 passes since the do concurrent pass was originally added after the OMP descriptor one.
// Collect the memref defining ops in the parallel region. | ||
for (mlir::Operation *opToClone : declareAndAllocasToClone) { | ||
rewriter.clone(*opToClone, mapper); | ||
for (auto [arg, mapInfoOp] : |
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seems reasonable from what I can see, but I would also keep in mind that during the generation of Map <-> BlockArgs that occurs, we also have a little segment of code that clones bounds into the target region where possible (I think genLiveInDeclare may be trying to do something similar but please do correct me if I am wrong), and if it can't I believe it generates a map for the bounds, but @TIFitis is more familiar with this and can perhaps give further input or answer questions you might have on it!
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(I think genLiveInDeclare may be trying to do something similar but please do correct me if I am wrong)
Indeed that's what happens now. The relevant part of genLiveInDeclare
is:
mlir::Operation *localExtentDef =
boundsOp.getExtent().getDefiningOp()->clone();
rewriter.getInsertionBlock()->push_back(localExtentDef);
// the parallel region. For example, if the value of a bound is defined by a | ||
// `fir.convert`op, this lambda clones the `fir.convert` as well as the | ||
// value it converts from. We do this since `omp.target` regions are | ||
// isolated from above. |
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I think one issue that may arise, is that map operations only take pointer-like values, Index values are not mappable (you can circumvent this by creating the right operations to load it into memory (so convert it to a ref) and pass that instead I would imagine), there was some contention with this when @TIFitis tried to do it originally, so we rolled back to just using pointer-like arguments in map operations.
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Thanks @skatrak & @agozillon for the review.
@@ -50,7 +50,7 @@ using DeclareTargetCapturePair = | |||
const Fortran::semantics::Symbol &>; | |||
|
|||
mlir::omp::MapInfoOp | |||
createMapInfoOp(fir::FirOpBuilder &builder, mlir::Location loc, | |||
createMapInfoOp(mlir::OpBuilder &builder, mlir::Location loc, |
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That will come a small additional cost of having to replicate FirOpBuilder::createIntegerConstant
's logic. Not much work but I would prefer to keep the FirOpBuilder
parameter.
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To reduce the pain for anyone merging from upstream, I prefer to avoid doing that for now. Maybe we should replicate the header reorganization upstream first?
// TODO I think this caluclation might not be correct. But this is how | ||
// it is done in PFT->OpenMP lowering. So keeping it like this until we | ||
// double check. | ||
mlir::Value ub = |
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Makes sense. Thanks for pointing out who to contact. I will leave it for now until we hit the (potential) issue.
return result; | ||
}(); | ||
|
||
return Fortran::lower::omp::createMapInfoOp( |
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This little segment of code will also need to maintain lockstep ...
Unfortunately, yes. I don't really like that as we discussed on Teams awhile back 😞. I think we might have to reopen that discussion in the future and try to find a way that bridges the gap between the PFT and MLIR worlds to allow code reuse here.
return result; | ||
}(); | ||
|
||
return Fortran::lower::omp::createMapInfoOp( |
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I would just advise that you make sure this pass occurs prior to the OpenMP descriptor pass otherwise the descriptor types (allocatables et al) that are captured won't be expanded appropriately which will result in them not being mapped correctly.
Thanks for pointing that out. I switched the 2 passes since the do concurrent pass was originally added after the OMP descriptor one.
// Collect the memref defining ops in the parallel region. | ||
for (mlir::Operation *opToClone : declareAndAllocasToClone) { | ||
rewriter.clone(*opToClone, mapper); | ||
for (auto [arg, mapInfoOp] : |
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(I think genLiveInDeclare may be trying to do something similar but please do correct me if I am wrong)
Indeed that's what happens now. The relevant part of genLiveInDeclare
is:
mlir::Operation *localExtentDef =
boundsOp.getExtent().getDefiningOp()->clone();
rewriter.getInsertionBlock()->push_back(localExtentDef);
// the parallel region. For example, if the value of a bound is defined by a | ||
// `fir.convert`op, this lambda clones the `fir.convert` as well as the | ||
// value it converts from. We do this since `omp.target` regions are | ||
// isolated from above. |
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but shouldn't everything be already mapped and present as an entry block argument to omp.target by this time, due to it being detected as a live-in value?
For the simple cases I tested so far, this is not the situation since LB, UB, step and constants; so they are not detected as live-ins. Only the induction variable is a live-in.
I think it makes sense to copy the ops related to constants and type casts into the target region (rather than just before omp.wsloop,
If you don't mind, I will leave that until we merge your work on composite constructs from upstream.
For simple loops, we can now choose to map `do concurrent` to either the host (i.e. `omp parallel do`) or the device (i.e. `omp target teams distribute parallel do`). In order to use this from `flang-new`, you can pass: `-fopenmp -fdo-concurrent-parallel=[host|device|none]`; where `none` will disable the `do concurrent` mapping altogether.
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Sorry for the delay getting back to this, but thank you Kareem for working on previous feedback and adapting the patch to the changes to OpenMP loop representations. I've got a few comments mostly to reorganize things a bit and some nits, but nothing substantial.
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Looks great, thank you!
…arallel fusion llvm#94391 (llvm#97607)" This reverts commit edbc0e3. Reason for rollback. ASAN complains about this PR: ==4320==ERROR: AddressSanitizer: heap-use-after-free on address 0x502000006cd8 at pc 0x55e2978d63cf bp 0x7ffe6431c2b0 sp 0x7ffe6431c2a8 READ of size 8 at 0x502000006cd8 thread T0 #0 0x55e2978d63ce in map<llvm::MutableArrayRef<mlir::BlockArgument> &, llvm::MutableArrayRef<mlir::BlockArgument>, nullptr> mlir/include/mlir/IR/IRMapping.h:40:11 #1 0x55e2978d63ce in mlir::createFused(mlir::LoopLikeOpInterface, mlir::LoopLikeOpInterface, mlir::RewriterBase&, std::__u::function<llvm::SmallVector<mlir::Value, 6u> (mlir::OpBuilder&, mlir::Location, llvm::ArrayRef<mlir::BlockArgument>)>, llvm::function_ref<void (mlir::RewriterBase&, mlir::LoopLikeOpInterface, mlir::LoopLikeOpInterface&, mlir::IRMapping)>) mlir/lib/Interfaces/LoopLikeInterface.cpp:156:11 #2 0x55e2952a614b in mlir::fuseIndependentSiblingForLoops(mlir::scf::ForOp, mlir::scf::ForOp, mlir::RewriterBase&) mlir/lib/Dialect/SCF/Utils/Utils.cpp:1398:43 #3 0x55e291480c6f in mlir::transform::LoopFuseSiblingOp::apply(mlir::transform::TransformRewriter&, mlir::transform::TransformResults&, mlir::transform::TransformState&) mlir/lib/Dialect/SCF/TransformOps/SCFTransformOps.cpp:482:17 #4 0x55e29149ed5e in mlir::transform::detail::TransformOpInterfaceInterfaceTraits::Model<mlir::transform::LoopFuseSiblingOp>::apply(mlir::transform::detail::TransformOpInterfaceInterfaceTraits::Concept const*, mlir::Operation*, mlir::transform::TransformRewriter&, mlir::transform::TransformResults&, mlir::transform::TransformState&) blaze-out/k8-opt-asan/bin/mlir/include/mlir/Dialect/Transform/Interfaces/TransformInterfaces.h.inc:477:56 #5 0x55e297494a60 in apply blaze-out/k8-opt-asan/bin/mlir/include/mlir/Dialect/Transform/Interfaces/TransformInterfaces.cpp.inc:61:14 #6 0x55e297494a60 in mlir::transform::TransformState::applyTransform(mlir::transform::TransformOpInterface) mlir/lib/Dialect/Transform/Interfaces/TransformInterfaces.cpp:953:48 #7 0x55e294646a8d in applySequenceBlock(mlir::Block&, mlir::transform::FailurePropagationMode, mlir::transform::TransformState&, mlir::transform::TransformResults&) mlir/lib/Dialect/Transform/IR/TransformOps.cpp:1788:15 #8 0x55e29464f927 in mlir::transform::NamedSequenceOp::apply(mlir::transform::TransformRewriter&, mlir::transform::TransformResults&, mlir::transform::TransformState&) mlir/lib/Dialect/Transform/IR/TransformOps.cpp:2155:10 #9 0x55e2945d28ee in mlir::transform::detail::TransformOpInterfaceInterfaceTraits::Model<mlir::transform::NamedSequenceOp>::apply(mlir::transform::detail::TransformOpInterfaceInterfaceTraits::Concept const*, mlir::Operation*, mlir::transform::TransformRewriter&, mlir::transform::TransformResults&, mlir::transform::TransformState&) blaze-out/k8-opt-asan/bin/mlir/include/mlir/Dialect/Transform/Interfaces/TransformInterfaces.h.inc:477:56 #10 0x55e297494a60 in apply blaze-out/k8-opt-asan/bin/mlir/include/mlir/Dialect/Transform/Interfaces/TransformInterfaces.cpp.inc:61:14 #11 0x55e297494a60 in mlir::transform::TransformState::applyTransform(mlir::transform::TransformOpInterface) mlir/lib/Dialect/Transform/Interfaces/TransformInterfaces.cpp:953:48 #12 0x55e2974a5fe2 in mlir::transform::applyTransforms(mlir::Operation*, mlir::transform::TransformOpInterface, mlir::RaggedArray<llvm::PointerUnion<mlir::Operation*, mlir::Attribute, mlir::Value>> const&, mlir::transform::TransformOptions const&, bool) mlir/lib/Dialect/Transform/Interfaces/TransformInterfaces.cpp:2016:16 #13 0x55e2945888d7 in mlir::transform::applyTransformNamedSequence(mlir::RaggedArray<llvm::PointerUnion<mlir::Operation*, mlir::Attribute, mlir::Value>>, mlir::transform::TransformOpInterface, mlir::ModuleOp, mlir::transform::TransformOptions const&) mlir/lib/Dialect/Transform/Transforms/TransformInterpreterUtils.cpp:234:10 #14 0x55e294582446 in (anonymous namespace)::InterpreterPass::runOnOperation() mlir/lib/Dialect/Transform/Transforms/InterpreterPass.cpp:147:16 #15 0x55e2978e93c6 in operator() mlir/lib/Pass/Pass.cpp:527:17 #16 0x55e2978e93c6 in void llvm::function_ref<void ()>::callback_fn<mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int)::$_1>(long) llvm/include/llvm/ADT/STLFunctionalExtras.h:45:12 #17 0x55e2978e207a in operator() llvm/include/llvm/ADT/STLFunctionalExtras.h:68:12 #18 0x55e2978e207a in executeAction<mlir::PassExecutionAction, mlir::Pass &> mlir/include/mlir/IR/MLIRContext.h:275:7 #19 0x55e2978e207a in mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) mlir/lib/Pass/Pass.cpp:521:21 #20 0x55e2978e5fbf in runPipeline mlir/lib/Pass/Pass.cpp:593:16 #21 0x55e2978e5fbf in mlir::PassManager::runPasses(mlir::Operation*, mlir::AnalysisManager) mlir/lib/Pass/Pass.cpp:904:10 #22 0x55e2978e5b65 in mlir::PassManager::run(mlir::Operation*) mlir/lib/Pass/Pass.cpp:884:60 #23 0x55e291ebb460 in performActions(llvm::raw_ostream&, std::__u::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:408:17 #24 0x55e291ebabd9 in processBuffer mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:481:9 #25 0x55e291ebabd9 in operator() mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:548:12 #26 0x55e291ebabd9 in llvm::LogicalResult llvm::function_ref<llvm::LogicalResult (std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>::callback_fn<mlir::MlirOptMain(llvm::raw_ostream&, std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&)::$_0>(long, std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) llvm/include/llvm/ADT/STLFunctionalExtras.h:45:12 #27 0x55e297b1cffe in operator() llvm/include/llvm/ADT/STLFunctionalExtras.h:68:12 #28 0x55e297b1cffe in mlir::splitAndProcessBuffer(std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<llvm::LogicalResult (std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>, llvm::raw_ostream&, llvm::StringRef, llvm::StringRef)::$_0::operator()(llvm::StringRef) const mlir/lib/Support/ToolUtilities.cpp:86:16 #29 0x55e297b1c9c5 in interleave<const llvm::StringRef *, (lambda at mlir/lib/Support/ToolUtilities.cpp:79:23), (lambda at llvm/include/llvm/ADT/STLExtras.h:2147:49), void> llvm/include/llvm/ADT/STLExtras.h:2125:3 #30 0x55e297b1c9c5 in interleave<llvm::SmallVector<llvm::StringRef, 8U>, (lambda at mlir/lib/Support/ToolUtilities.cpp:79:23), llvm::raw_ostream, llvm::StringRef> llvm/include/llvm/ADT/STLExtras.h:2147:3 #31 0x55e297b1c9c5 in mlir::splitAndProcessBuffer(std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<llvm::LogicalResult (std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>, llvm::raw_ostream&, llvm::StringRef, llvm::StringRef) mlir/lib/Support/ToolUtilities.cpp:89:3 #32 0x55e291eb0cf0 in mlir::MlirOptMain(llvm::raw_ostream&, std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&) mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:551:10 #33 0x55e291eb115c in mlir::MlirOptMain(int, char**, llvm::StringRef, llvm::StringRef, mlir::DialectRegistry&) mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:589:14 #34 0x55e291eb15f8 in mlir::MlirOptMain(int, char**, llvm::StringRef, mlir::DialectRegistry&) mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:605:10 #35 0x55e29130d1be in main mlir/tools/mlir-opt/mlir-opt.cpp:311:33 #36 0x7fbcf3fff3d3 in __libc_start_main (/usr/grte/v5/lib64/libc.so.6+0x613d3) (BuildId: 9a996398ce14a94560b0c642eb4f6e94) #37 0x55e2912365a9 in _start /usr/grte/v5/debug-src/src/csu/../sysdeps/x86_64/start.S:120 0x502000006cd8 is located 8 bytes inside of 16-byte region [0x502000006cd0,0x502000006ce0) freed by thread T0 here: #0 0x55e29130b7e2 in operator delete(void*, unsigned long) compiler-rt/lib/asan/asan_new_delete.cpp:155:3 #1 0x55e2979eb657 in __libcpp_operator_delete<void *, unsigned long> #2 0x55e2979eb657 in __do_deallocate_handle_size<> #3 0x55e2979eb657 in __libcpp_deallocate #4 0x55e2979eb657 in deallocate #5 0x55e2979eb657 in deallocate #6 0x55e2979eb657 in operator() #7 0x55e2979eb657 in ~vector #8 0x55e2979eb657 in mlir::Block::~Block() mlir/lib/IR/Block.cpp:24:1 #9 0x55e2979ebc17 in deleteNode llvm/include/llvm/ADT/ilist.h:42:39 #10 0x55e2979ebc17 in erase llvm/include/llvm/ADT/ilist.h:205:5 #11 0x55e2979ebc17 in erase llvm/include/llvm/ADT/ilist.h:209:39 #12 0x55e2979ebc17 in mlir::Block::erase() mlir/lib/IR/Block.cpp:67:28 #13 0x55e297aef978 in mlir::RewriterBase::eraseBlock(mlir::Block*) mlir/lib/IR/PatternMatch.cpp:245:10 #14 0x55e297af0563 in mlir::RewriterBase::inlineBlockBefore(mlir::Block*, mlir::Block*, llvm::ilist_iterator<llvm::ilist_detail::node_options<mlir::Operation, false, false, void, false, void>, false, false>, mlir::ValueRange) mlir/lib/IR/PatternMatch.cpp:331:3 #15 0x55e297af06d8 in mlir::RewriterBase::mergeBlocks(mlir::Block*, mlir::Block*, mlir::ValueRange) mlir/lib/IR/PatternMatch.cpp:341:3 #16 0x55e297036608 in mlir::scf::ForOp::replaceWithAdditionalYields(mlir::RewriterBase&, mlir::ValueRange, bool, std::__u::function<llvm::SmallVector<mlir::Value, 6u> (mlir::OpBuilder&, mlir::Location, llvm::ArrayRef<mlir::BlockArgument>)> const&) mlir/lib/Dialect/SCF/IR/SCF.cpp:575:12 #17 0x55e2970673ca in mlir::detail::LoopLikeOpInterfaceInterfaceTraits::Model<mlir::scf::ForOp>::replaceWithAdditionalYields(mlir::detail::LoopLikeOpInterfaceInterfaceTraits::Concept const*, mlir::Operation*, mlir::RewriterBase&, mlir::ValueRange, bool, std::__u::function<llvm::SmallVector<mlir::Value, 6u> (mlir::OpBuilder&, mlir::Location, llvm::ArrayRef<mlir::BlockArgument>)> const&) blaze-out/k8-opt-asan/bin/mlir/include/mlir/Interfaces/LoopLikeInterface.h.inc:658:56 #18 0x55e2978d5feb in replaceWithAdditionalYields blaze-out/k8-opt-asan/bin/mlir/include/mlir/Interfaces/LoopLikeInterface.cpp.inc:105:14 #19 0x55e2978d5feb in mlir::createFused(mlir::LoopLikeOpInterface, mlir::LoopLikeOpInterface, mlir::RewriterBase&, std::__u::function<llvm::SmallVector<mlir::Value, 6u> (mlir::OpBuilder&, mlir::Location, llvm::ArrayRef<mlir::BlockArgument>)>, llvm::function_ref<void (mlir::RewriterBase&, mlir::LoopLikeOpInterface, mlir::LoopLikeOpInterface&, mlir::IRMapping)>) mlir/lib/Interfaces/LoopLikeInterface.cpp:135:14 #20 0x55e2952a614b in mlir::fuseIndependentSiblingForLoops(mlir::scf::ForOp, mlir::scf::ForOp, mlir::RewriterBase&) mlir/lib/Dialect/SCF/Utils/Utils.cpp:1398:43 #21 0x55e291480c6f in mlir::transform::LoopFuseSiblingOp::apply(mlir::transform::TransformRewriter&, mlir::transform::TransformResults&, mlir::transform::TransformState&) mlir/lib/Dialect/SCF/TransformOps/SCFTransformOps.cpp:482:17 #22 0x55e29149ed5e in mlir::transform::detail::TransformOpInterfaceInterfaceTraits::Model<mlir::transform::LoopFuseSiblingOp>::apply(mlir::transform::detail::TransformOpInterfaceInterfaceTraits::Concept const*, mlir::Operation*, mlir::transform::TransformRewriter&, mlir::transform::TransformResults&, mlir::transform::TransformState&) blaze-out/k8-opt-asan/bin/mlir/include/mlir/Dialect/Transform/Interfaces/TransformInterfaces.h.inc:477:56 #23 0x55e297494a60 in apply blaze-out/k8-opt-asan/bin/mlir/include/mlir/Dialect/Transform/Interfaces/TransformInterfaces.cpp.inc:61:14 #24 0x55e297494a60 in mlir::transform::TransformState::applyTransform(mlir::transform::TransformOpInterface) mlir/lib/Dialect/Transform/Interfaces/TransformInterfaces.cpp:953:48 #25 0x55e294646a8d in applySequenceBlock(mlir::Block&, mlir::transform::FailurePropagationMode, mlir::transform::TransformState&, mlir::transform::TransformResults&) mlir/lib/Dialect/Transform/IR/TransformOps.cpp:1788:15 #26 0x55e29464f927 in mlir::transform::NamedSequenceOp::apply(mlir::transform::TransformRewriter&, mlir::transform::TransformResults&, mlir::transform::TransformState&) mlir/lib/Dialect/Transform/IR/TransformOps.cpp:2155:10 #27 0x55e2945d28ee in mlir::transform::detail::TransformOpInterfaceInterfaceTraits::Model<mlir::transform::NamedSequenceOp>::apply(mlir::transform::detail::TransformOpInterfaceInterfaceTraits::Concept const*, mlir::Operation*, mlir::transform::TransformRewriter&, mlir::transform::TransformResults&, mlir::transform::TransformState&) blaze-out/k8-opt-asan/bin/mlir/include/mlir/Dialect/Transform/Interfaces/TransformInterfaces.h.inc:477:56 #28 0x55e297494a60 in apply blaze-out/k8-opt-asan/bin/mlir/include/mlir/Dialect/Transform/Interfaces/TransformInterfaces.cpp.inc:61:14 #29 0x55e297494a60 in mlir::transform::TransformState::applyTransform(mlir::transform::TransformOpInterface) mlir/lib/Dialect/Transform/Interfaces/TransformInterfaces.cpp:953:48 #30 0x55e2974a5fe2 in mlir::transform::applyTransforms(mlir::Operation*, mlir::transform::TransformOpInterface, mlir::RaggedArray<llvm::PointerUnion<mlir::Operation*, mlir::Attribute, mlir::Value>> const&, mlir::transform::TransformOptions const&, bool) mlir/lib/Dialect/Transform/Interfaces/TransformInterfaces.cpp:2016:16 #31 0x55e2945888d7 in mlir::transform::applyTransformNamedSequence(mlir::RaggedArray<llvm::PointerUnion<mlir::Operation*, mlir::Attribute, mlir::Value>>, mlir::transform::TransformOpInterface, mlir::ModuleOp, mlir::transform::TransformOptions const&) mlir/lib/Dialect/Transform/Transforms/TransformInterpreterUtils.cpp:234:10 #32 0x55e294582446 in (anonymous namespace)::InterpreterPass::runOnOperation() mlir/lib/Dialect/Transform/Transforms/InterpreterPass.cpp:147:16 #33 0x55e2978e93c6 in operator() mlir/lib/Pass/Pass.cpp:527:17 #34 0x55e2978e93c6 in void llvm::function_ref<void ()>::callback_fn<mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int)::$_1>(long) llvm/include/llvm/ADT/STLFunctionalExtras.h:45:12 #35 0x55e2978e207a in operator() llvm/include/llvm/ADT/STLFunctionalExtras.h:68:12 #36 0x55e2978e207a in executeAction<mlir::PassExecutionAction, mlir::Pass &> mlir/include/mlir/IR/MLIRContext.h:275:7 #37 0x55e2978e207a in mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) mlir/lib/Pass/Pass.cpp:521:21 #38 0x55e2978e5fbf in runPipeline mlir/lib/Pass/Pass.cpp:593:16 #39 0x55e2978e5fbf in mlir::PassManager::runPasses(mlir::Operation*, mlir::AnalysisManager) mlir/lib/Pass/Pass.cpp:904:10 #40 0x55e2978e5b65 in mlir::PassManager::run(mlir::Operation*) mlir/lib/Pass/Pass.cpp:884:60 #41 0x55e291ebb460 in performActions(llvm::raw_ostream&, std::__u::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:408:17 #42 0x55e291ebabd9 in processBuffer mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:481:9 #43 0x55e291ebabd9 in operator() mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:548:12 #44 0x55e291ebabd9 in llvm::LogicalResult llvm::function_ref<llvm::LogicalResult (std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>::callback_fn<mlir::MlirOptMain(llvm::raw_ostream&, std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&)::$_0>(long, std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) llvm/include/llvm/ADT/STLFunctionalExtras.h:45:12 #45 0x55e297b1cffe in operator() llvm/include/llvm/ADT/STLFunctionalExtras.h:68:12 #46 0x55e297b1cffe in mlir::splitAndProcessBuffer(std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<llvm::LogicalResult (std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>, llvm::raw_ostream&, llvm::StringRef, llvm::StringRef)::$_0::operator()(llvm::StringRef) const mlir/lib/Support/ToolUtilities.cpp:86:16 #47 0x55e297b1c9c5 in interleave<const llvm::StringRef *, (lambda at mlir/lib/Support/ToolUtilities.cpp:79:23), (lambda at llvm/include/llvm/ADT/STLExtras.h:2147:49), void> llvm/include/llvm/ADT/STLExtras.h:2125:3 #48 0x55e297b1c9c5 in interleave<llvm::SmallVector<llvm::StringRef, 8U>, (lambda at mlir/lib/Support/ToolUtilities.cpp:79:23), llvm::raw_ostream, llvm::StringRef> llvm/include/llvm/ADT/STLExtras.h:2147:3 #49 0x55e297b1c9c5 in mlir::splitAndProcessBuffer(std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<llvm::LogicalResult (std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>, llvm::raw_ostream&, llvm::StringRef, llvm::StringRef) mlir/lib/Support/ToolUtilities.cpp:89:3 #50 0x55e291eb0cf0 in mlir::MlirOptMain(llvm::raw_ostream&, std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&) mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:551:10 #51 0x55e291eb115c in mlir::MlirOptMain(int, char**, llvm::StringRef, llvm::StringRef, mlir::DialectRegistry&) mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:589:14 previously allocated by thread T0 here: #0 0x55e29130ab5d in operator new(unsigned long) compiler-rt/lib/asan/asan_new_delete.cpp:86:3 #1 0x55e2979ed5d4 in __libcpp_operator_new<unsigned long> #2 0x55e2979ed5d4 in __libcpp_allocate #3 0x55e2979ed5d4 in allocate #4 0x55e2979ed5d4 in __allocate_at_least<std::__u::allocator<mlir::BlockArgument> > #5 0x55e2979ed5d4 in __split_buffer #6 0x55e2979ed5d4 in mlir::BlockArgument* std::__u::vector<mlir::BlockArgument, std::__u::allocator<mlir::BlockArgument>>::__push_back_slow_path<mlir::BlockArgument const&>(mlir::BlockArgument const&) #7 0x55e2979ec0f2 in push_back #8 0x55e2979ec0f2 in mlir::Block::addArgument(mlir::Type, mlir::Location) mlir/lib/IR/Block.cpp:154:13 #9 0x55e29796e457 in parseRegionBody mlir/lib/AsmParser/Parser.cpp:2172:34 #10 0x55e29796e457 in (anonymous namespace)::OperationParser::parseRegion(mlir::Region&, llvm::ArrayRef<mlir::OpAsmParser::Argument>, bool) mlir/lib/AsmParser/Parser.cpp:2121:7 #11 0x55e29796b25e in (anonymous namespace)::CustomOpAsmParser::parseRegion(mlir::Region&, llvm::ArrayRef<mlir::OpAsmParser::Argument>, bool) mlir/lib/AsmParser/Parser.cpp:1785:16 #12 0x55e297035742 in mlir::scf::ForOp::parse(mlir::OpAsmParser&, mlir::OperationState&) mlir/lib/Dialect/SCF/IR/SCF.cpp:521:14 #13 0x55e291322c18 in llvm::ParseResult llvm::detail::UniqueFunctionBase<llvm::ParseResult, mlir::OpAsmParser&, mlir::OperationState&>::CallImpl<llvm::ParseResult (*)(mlir::OpAsmParser&, mlir::OperationState&)>(void*, mlir::OpAsmParser&, mlir::OperationState&) llvm/include/llvm/ADT/FunctionExtras.h:220:12 #14 0x55e29795bea3 in operator() llvm/include/llvm/ADT/FunctionExtras.h:384:12 #15 0x55e29795bea3 in callback_fn<llvm::unique_function<llvm::ParseResult (mlir::OpAsmParser &, mlir::OperationState &)> > llvm/include/llvm/ADT/STLFunctionalExtras.h:45:12 #16 0x55e29795bea3 in operator() llvm/include/llvm/ADT/STLFunctionalExtras.h:68:12 #17 0x55e29795bea3 in parseOperation mlir/lib/AsmParser/Parser.cpp:1521:9 #18 0x55e29795bea3 in parseCustomOperation mlir/lib/AsmParser/Parser.cpp:2017:19 #19 0x55e29795bea3 in (anonymous namespace)::OperationParser::parseOperation() mlir/lib/AsmParser/Parser.cpp:1174:10 #20 0x55e297971d20 in parseBlockBody mlir/lib/AsmParser/Parser.cpp:2296:9 #21 0x55e297971d20 in (anonymous namespace)::OperationParser::parseBlock(mlir::Block*&) mlir/lib/AsmParser/Parser.cpp:2226:12 #22 0x55e29796e4f5 in parseRegionBody mlir/lib/AsmParser/Parser.cpp:2184:7 #23 0x55e29796e4f5 in (anonymous namespace)::OperationParser::parseRegion(mlir::Region&, llvm::ArrayRef<mlir::OpAsmParser::Argument>, bool) mlir/lib/AsmParser/Parser.cpp:2121:7 #24 0x55e29796b25e in (anonymous namespace)::CustomOpAsmParser::parseRegion(mlir::Region&, llvm::ArrayRef<mlir::OpAsmParser::Argument>, bool) mlir/lib/AsmParser/Parser.cpp:1785:16 #25 0x55e29796b2cf in (anonymous namespace)::CustomOpAsmParser::parseOptionalRegion(mlir::Region&, llvm::ArrayRef<mlir::OpAsmParser::Argument>, bool) mlir/lib/AsmParser/Parser.cpp:1796:12 #26 0x55e2978d89ff in mlir::function_interface_impl::parseFunctionOp(mlir::OpAsmParser&, mlir::OperationState&, bool, mlir::StringAttr, llvm::function_ref<mlir::Type (mlir::Builder&, llvm::ArrayRef<mlir::Type>, llvm::ArrayRef<mlir::Type>, mlir::function_interface_impl::VariadicFlag, std::__u::basic_string<char, std::__u::char_traits<char>, std::__u::allocator<char>>&)>, mlir::StringAttr, mlir::StringAttr) mlir/lib/Interfaces/FunctionImplementation.cpp:232:14 #27 0x55e2969ba41d in mlir::func::FuncOp::parse(mlir::OpAsmParser&, mlir::OperationState&) mlir/lib/Dialect/Func/IR/FuncOps.cpp:203:10 #28 0x55e291322c18 in llvm::ParseResult llvm::detail::UniqueFunctionBase<llvm::ParseResult, mlir::OpAsmParser&, mlir::OperationState&>::CallImpl<llvm::ParseResult (*)(mlir::OpAsmParser&, mlir::OperationState&)>(void*, mlir::OpAsmParser&, mlir::OperationState&) llvm/include/llvm/ADT/FunctionExtras.h:220:12 #29 0x55e29795bea3 in operator() llvm/include/llvm/ADT/FunctionExtras.h:384:12 #30 0x55e29795bea3 in callback_fn<llvm::unique_function<llvm::ParseResult (mlir::OpAsmParser &, mlir::OperationState &)> > llvm/include/llvm/ADT/STLFunctionalExtras.h:45:12 #31 0x55e29795bea3 in operator() llvm/include/llvm/ADT/STLFunctionalExtras.h:68:12 #32 0x55e29795bea3 in parseOperation mlir/lib/AsmParser/Parser.cpp:1521:9 #33 0x55e29795bea3 in parseCustomOperation mlir/lib/AsmParser/Parser.cpp:2017:19 #34 0x55e29795bea3 in (anonymous namespace)::OperationParser::parseOperation() mlir/lib/AsmParser/Parser.cpp:1174:10 #35 0x55e297959b78 in parse mlir/lib/AsmParser/Parser.cpp:2725:20 #36 0x55e297959b78 in mlir::parseAsmSourceFile(llvm::SourceMgr const&, mlir::Block*, mlir::ParserConfig const&, mlir::AsmParserState*, mlir::AsmParserCodeCompleteContext*) mlir/lib/AsmParser/Parser.cpp:2785:41 #37 0x55e29790d5c2 in mlir::parseSourceFile(std::__u::shared_ptr<llvm::SourceMgr> const&, mlir::Block*, mlir::ParserConfig const&, mlir::LocationAttr*) mlir/lib/Parser/Parser.cpp:46:10 #38 0x55e291ebbfe2 in parseSourceFile<mlir::ModuleOp, const std::__u::shared_ptr<llvm::SourceMgr> &> mlir/include/mlir/Parser/Parser.h:159:14 #39 0x55e291ebbfe2 in parseSourceFile<mlir::ModuleOp> mlir/include/mlir/Parser/Parser.h:189:10 #40 0x55e291ebbfe2 in mlir::parseSourceFileForTool(std::__u::shared_ptr<llvm::SourceMgr> const&, mlir::ParserConfig const&, bool) mlir/include/mlir/Tools/ParseUtilities.h:31:12 #41 0x55e291ebb263 in performActions(llvm::raw_ostream&, std::__u::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:383:33 #42 0x55e291ebabd9 in processBuffer mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:481:9 #43 0x55e291ebabd9 in operator() mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:548:12 #44 0x55e291ebabd9 in llvm::LogicalResult llvm::function_ref<llvm::LogicalResult (std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>::callback_fn<mlir::MlirOptMain(llvm::raw_ostream&, std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&)::$_0>(long, std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) llvm/include/llvm/ADT/STLFunctionalExtras.h:45:12 #45 0x55e297b1cffe in operator() llvm/include/llvm/ADT/STLFunctionalExtras.h:68:12 #46 0x55e297b1cffe in mlir::splitAndProcessBuffer(std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<llvm::LogicalResult (std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>, llvm::raw_ostream&, llvm::StringRef, llvm::StringRef)::$_0::operator()(llvm::StringRef) const mlir/lib/Support/ToolUtilities.cpp:86:16 #47 0x55e297b1c9c5 in interleave<const llvm::StringRef *, (lambda at mlir/lib/Support/ToolUtilities.cpp:79:23), (lambda at llvm/include/llvm/ADT/STLExtras.h:2147:49), void> llvm/include/llvm/ADT/STLExtras.h:2125:3 #48 0x55e297b1c9c5 in interleave<llvm::SmallVector<llvm::StringRef, 8U>, (lambda at mlir/lib/Support/ToolUtilities.cpp:79:23), llvm::raw_ostream, llvm::StringRef> llvm/include/llvm/ADT/STLExtras.h:2147:3 #49 0x55e297b1c9c5 in mlir::splitAndProcessBuffer(std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<llvm::LogicalResult (std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>, llvm::raw_ostream&, llvm::StringRef, llvm::StringRef) mlir/lib/Support/ToolUtilities.cpp:89:3 #50 0x55e291eb0cf0 in mlir::MlirOptMain(llvm::raw_ostream&, std::__u::unique_ptr<llvm::MemoryBuffer, std::__u::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&) mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:551:10 #51 0x55e291eb115c in mlir::MlirOptMain(int, char**, llvm::StringRef, llvm::StringRef, mlir::DialectRegistry&) mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:589:14 #52 0x55e291eb15f8 in mlir::MlirOptMain(int, char**, llvm::StringRef, mlir::DialectRegistry&) mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:605:10 #53 0x55e29130d1be in main mlir/tools/mlir-opt/mlir-opt.cpp:311:33 #54 0x7fbcf3fff3d3 in __libc_start_main (/usr/grte/v5/lib64/libc.so.6+0x613d3) (BuildId: 9a996398ce14a94560b0c642eb4f6e94) #55 0x55e2912365a9 in _start /usr/grte/v5/debug-src/src/csu/../sysdeps/x86_64/start.S:120 SUMMARY: AddressSanitizer: heap-use-after-free mlir/include/mlir/IR/IRMapping.h:40:11 in map<llvm::MutableArrayRef<mlir::BlockArgument> &, llvm::MutableArrayRef<mlir::BlockArgument>, nullptr> Shadow bytes around the buggy address: 0x502000006a00: fa fa 00 fa fa fa 00 00 fa fa 00 fa fa fa 00 fa 0x502000006a80: fa fa 00 fa fa fa 00 00 fa fa 00 00 fa fa 00 00 0x502000006b00: fa fa 00 00 fa fa 00 00 fa fa 00 fa fa fa 00 fa 0x502000006b80: fa fa 00 fa fa fa 00 fa fa fa 00 00 fa fa 00 00 0x502000006c00: fa fa 00 00 fa fa 00 00 fa fa 00 00 fa fa fd fa =>0x502000006c80: fa fa fd fa fa fa fd fd fa fa fd[fd]fa fa fd fd 0x502000006d00: fa fa 00 fa fa fa 00 fa fa fa 00 fa fa fa 00 fa 0x502000006d80: fa fa 00 fa fa fa 00 fa fa fa 00 fa fa fa 00 fa 0x502000006e00: fa fa 00 fa fa fa 00 fa fa fa 00 00 fa fa 00 fa 0x502000006e80: fa fa 00 fa fa fa 00 00 fa fa 00 fa fa fa 00 fa 0x502000006f00: fa fa 00 fa fa fa 00 fa fa fa 00 fa fa fa 00 fa Shadow byte legend (one shadow byte represents 8 application bytes): Addressable: 00 Partially addressable: 01 02 03 04 05 06 07 Heap left redzone: fa Freed heap region: fd Stack left redzone: f1 Stack mid redzone: f2 Stack right redzone: f3 Stack after return: f5 Stack use after scope: f8 Global redzone: f9 Global init order: f6 Poisoned by user: f7 Container overflow: fc Array cookie: ac Intra object redzone: bb ASan internal: fe Left alloca redzone: ca Right alloca redzone: cb ==4320==ABORTING
For simple loops, we can now choose to map
do concurrent
to either the host (i.e.omp parallel do
) or the device (i.e.omp target teams distribute parallel do
).In order to use this from
flang-new
, you can pass:-fdo-concurrent-parallel=[none|host|device]
.