<table border="1" cellspacing="0" cellpadding="8">
<tr>
<th>Issue</th>
<td>
<a href=https://github.com/llvm/llvm-project/issues/58649>58649</a>
</td>
</tr>
<tr>
<th>Summary</th>
<td>
[MLIR] Crash when using -lower-affine
</td>
</tr>
<tr>
<th>Labels</th>
<td>
new issue
</td>
</tr>
<tr>
<th>Assignees</th>
<td>
</td>
</tr>
<tr>
<th>Reporter</th>
<td>
BealZephyr
</td>
</tr>
</table>
<pre>
Hello. I think I just encountered a bug. When I use -lower-affine, it crashes with following backtraceļ¼
```
mlir-opt: /data/llvm/mlir/lib/Dialect/Affine/IR/AffineOps.cpp:1789: auto foldLoopBounds(mlir::AffineForOp)::(anonymous class)::operator()(bool) const: Assertion `boundMap.getNumResults() >= 1 && "bound maps should have at least one result"' failed.
PLEASE submit a bug report to https://github.com/llvm/llvm-project/issues/ and include the crash backtrace.
Stack dump:
0. Program arguments: mlir-opt crash_lower_affine.mlir -lower-affine
#0 0x000000000047f08a llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) /data/llvm/llvm/lib/Support/Unix/Signals.inc:569:11
#1 0x000000000047f23b PrintStackTraceSignalHandler(void*) /data/llvm/llvm/lib/Support/Unix/Signals.inc:636:1
#2 0x000000000047d8b6 llvm::sys::RunSignalHandlers() /data/llvm/llvm/lib/Support/Signals.cpp:103:5
#3 0x000000000047f965 SignalHandler(int) /data/llvm/llvm/lib/Support/Unix/Signals.inc:407:1
#4 0x00007fb6e0e2a980 __restore_rt (/lib/x86_64-linux-gnu/libpthread.so.0+0x12980)
#5 0x00007fb6dfd1ae87 raise /build/glibc-CVJwZb/glibc-2.27/signal/../sysdeps/unix/sysv/linux/raise.c:51:0
#6 0x00007fb6dfd1c7f1 abort /build/glibc-CVJwZb/glibc-2.27/stdlib/abort.c:81:0
#7 0x00007fb6dfd0c3fa __assert_fail_base /build/glibc-CVJwZb/glibc-2.27/assert/assert.c:89:0
#8 0x00007fb6dfd0c472 (/lib/x86_64-linux-gnu/libc.so.6+0x30472)
#9 0x00000000005a4a3e foldLoopBounds(mlir::AffineForOp)::$_24::operator()(bool) const /data/llvm/mlir/lib/Dialect/Affine/IR/AffineOps.cpp:1790:31
#10 0x0000000000585747 foldLoopBounds(mlir::AffineForOp) /data/llvm/mlir/lib/Dialect/Affine/IR/AffineOps.cpp:1810:25
#11 0x00000000005855f6 mlir::AffineForOp::fold(llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) /data/llvm/mlir/lib/Dialect/Affine/IR/AffineOps.cpp:1976:27
#12 0x00000000005f35fa mlir::LogicalResult mlir::Op<mlir::AffineForOp, mlir::OpTrait::OneRegion, mlir::OpTrait::VariadicResults, mlir::OpTrait::ZeroSuccessors, mlir::OpTrait::VariadicOperands, mlir::OpTrait::SingleBlockImplicitTerminator<mlir::AffineYieldOp>::Impl, mlir::OpTrait::OpInvariants, mlir::OpTrait::AutomaticAllocationScope, mlir::OpTrait::HasRecursiveSideEffects, mlir::LoopLikeOpInterface::Trait, mlir::RegionBranchOpInterface::Trait>::foldHook<mlir::AffineForOp>(mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) /data/llvm/mlir/include/mlir/IR/OpDefinition.h:1825:50
#13 0x00000000005f35a1 std::enable_if<!llvm::is_one_of<mlir::OpTrait::OneResult<mlir::AffineForOp>, mlir::OpTrait::OneRegion<mlir::AffineForOp>, mlir::OpTrait::VariadicResults<mlir::AffineForOp>, mlir::OpTrait::ZeroSuccessors<mlir::AffineForOp>, mlir::OpTrait::VariadicOperands<mlir::AffineForOp>, mlir::OpTrait::SingleBlockImplicitTerminator<mlir::AffineYieldOp>::Impl<mlir::AffineForOp>, mlir::OpTrait::OpInvariants<mlir::AffineForOp>, mlir::OpTrait::AutomaticAllocationScope<mlir::AffineForOp>, mlir::OpTrait::HasRecursiveSideEffects<mlir::AffineForOp>, mlir::LoopLikeOpInterface::Trait<mlir::AffineForOp>, mlir::RegionBranchOpInterface::Trait<mlir::AffineForOp>>::value && detect_has_fold<mlir::AffineForOp>::value, llvm::unique_function<mlir::LogicalResult (mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) const>>::type mlir::Op<mlir::AffineForOp, mlir::OpTrait::OneRegion, mlir::OpTrait::VariadicResults, mlir::OpTrait::ZeroSuccessors, mlir::OpTrait::VariadicOperands, mlir::OpTrait::SingleBlockImplicitTerminator<mlir::AffineYieldOp>::Impl, mlir::OpTrait::OpInvariants, mlir::OpTrait::AutomaticAllocationScope, mlir::OpTrait::HasRecursiveSideEffects, mlir::LoopLikeOpInterface::Trait, mlir::RegionBranchOpInterface::Trait>::getFoldHookFnImpl<mlir::AffineForOp>()::'lambda'(mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&)::operator()(mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) const /data/llvm/mlir/include/mlir/IR/OpDefinition.h:1785:14
#14 0x00000000005f3545 mlir::LogicalResult llvm::detail::UniqueFunctionBase<mlir::LogicalResult, mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&>::CallImpl<std::enable_if<!llvm::is_one_of<mlir::OpTrait::OneResult<mlir::AffineForOp>, mlir::OpTrait::OneRegion<mlir::AffineForOp>, mlir::OpTrait::VariadicResults<mlir::AffineForOp>, mlir::OpTrait::ZeroSuccessors<mlir::AffineForOp>, mlir::OpTrait::VariadicOperands<mlir::AffineForOp>, mlir::OpTrait::SingleBlockImplicitTerminator<mlir::AffineYieldOp>::Impl<mlir::AffineForOp>, mlir::OpTrait::OpInvariants<mlir::AffineForOp>, mlir::OpTrait::AutomaticAllocationScope<mlir::AffineForOp>, mlir::OpTrait::HasRecursiveSideEffects<mlir::AffineForOp>, mlir::LoopLikeOpInterface::Trait<mlir::AffineForOp>, mlir::RegionBranchOpInterface::Trait<mlir::AffineForOp>>::value && detect_has_fold<mlir::AffineForOp>::value, llvm::unique_function<mlir::LogicalResult (mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) const>>::type mlir::Op<mlir::AffineForOp, mlir::OpTrait::OneRegion, mlir::OpTrait::VariadicResults, mlir::OpTrait::ZeroSuccessors, mlir::OpTrait::VariadicOperands, mlir::OpTrait::SingleBlockImplicitTerminator<mlir::AffineYieldOp>::Impl, mlir::OpTrait::OpInvariants, mlir::OpTrait::AutomaticAllocationScope, mlir::OpTrait::HasRecursiveSideEffects, mlir::LoopLikeOpInterface::Trait, mlir::RegionBranchOpInterface::Trait>::getFoldHookFnImpl<mlir::AffineForOp>()::'lambda'(mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) const>(void*, mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) /data/llvm/llvm/include/llvm/ADT/FunctionExtras.h:222:12
#15 0x0000000002c59d3f llvm::unique_function<mlir::LogicalResult (mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) const>::operator()(mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) const /data/llvm/llvm/include/llvm/ADT/FunctionExtras.h:410:12
#16 0x0000000002c592bc mlir::RegisteredOperationName::foldHook(mlir::Operation*, llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) const /data/llvm/mlir/include/mlir/IR/OperationSupport.h:334:12
#17 0x0000000002c51a0e mlir::Operation::fold(llvm::ArrayRef<mlir::Attribute>, llvm::SmallVectorImpl<mlir::OpFoldResult>&) /data/llvm/mlir/lib/IR/Operation.cpp:491:31
#18 0x0000000002b3ee59 mlir::OpBuilder::tryFold(mlir::Operation*, llvm::SmallVectorImpl<mlir::Value>&) /data/llvm/mlir/lib/IR/Builders.cpp:420:18
#19 0x0000000002a621bd (anonymous namespace)::OperationLegalizer::legalizeWithFold(mlir::Operation*, mlir::ConversionPatternRewriter&) /data/llvm/mlir/lib/Transforms/Utils/DialectConversion.cpp:1923:23
#20 0x0000000002a61cb2 (anonymous namespace)::OperationLegalizer::legalize(mlir::Operation*, mlir::ConversionPatternRewriter&) /data/llvm/mlir/lib/Transforms/Utils/DialectConversion.cpp:1885:17
#21 0x0000000002a6129f (anonymous namespace)::OperationConverter::convert(mlir::ConversionPatternRewriter&, mlir::Operation*) /data/llvm/mlir/lib/Transforms/Utils/DialectConversion.cpp:2407:26
#22 0x0000000002a5a78b (anonymous namespace)::OperationConverter::convertOperations(llvm::ArrayRef<mlir::Operation*>, llvm::function_ref<void (mlir::Diagnostic&)>) /data/llvm/mlir/lib/Transforms/Utils/DialectConversion.cpp:2456:16
#23 0x0000000002a5a457 mlir::applyPartialConversion(llvm::ArrayRef<mlir::Operation*>, mlir::ConversionTarget&, mlir::FrozenRewritePatternSet const&, llvm::DenseSet<mlir::Operation*, llvm::DenseMapInfo<mlir::Operation*, void>>*) /data/llvm/mlir/lib/Transforms/Utils/DialectConversion.cpp:3270:22
#24 0x0000000002a5a9d2 mlir::applyPartialConversion(mlir::Operation*, mlir::ConversionTarget&, mlir::FrozenRewritePatternSet const&, llvm::DenseSet<mlir::Operation*, llvm::DenseMapInfo<mlir::Operation*, void>>*) /data/llvm/mlir/lib/Transforms/Utils/DialectConversion.cpp:3276:10
#25 0x00000000024458b6 (anonymous namespace)::LowerAffinePass::runOnOperation() /data/llvm/mlir/lib/Conversion/AffineToStandard/AffineToStandard.cpp:555:16
#26 0x00000000029bbf7a mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) /data/llvm/mlir/lib/Pass/Pass.cpp:471:21
#27 0x00000000029bc574 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) /data/llvm/mlir/lib/Pass/Pass.cpp:534:16
#28 0x00000000029bde3c mlir::PassManager::runPasses(mlir::Operation*, mlir::AnalysisManager) /data/llvm/mlir/lib/Pass/Pass.cpp:837:10
#29 0x00000000029bdd5c mlir::PassManager::run(mlir::Operation*) /data/llvm/mlir/lib/Pass/Pass.cpp:817:60
#30 0x00000000029b539c performActions(llvm::raw_ostream&, bool, bool, llvm::SourceMgr&, mlir::MLIRContext*, llvm::function_ref<mlir::LogicalResult (mlir::PassManager&)>) /data/llvm/mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:84:17
#31 0x00000000029b50c3 processBuffer(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, bool, bool, bool, bool, llvm::function_ref<mlir::LogicalResult (mlir::PassManager&)>, mlir::DialectRegistry&, llvm::ThreadPool*) /data/llvm/mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:124:12
#32 0x00000000029b4ecf mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<mlir::LogicalResult (mlir::PassManager&)>, mlir::DialectRegistry&, bool, bool, bool, bool, bool)::$_0::operator()(std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) const /data/llvm/mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:164:12
#33 0x00000000029b4ded mlir::LogicalResult llvm::function_ref<mlir::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>::callback_fn<mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<mlir::LogicalResult (mlir::PassManager&)>, mlir::DialectRegistry&, bool, bool, bool, bool, bool)::$_0>(long, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) /data/llvm/llvm/include/llvm/ADT/STLFunctionalExtras.h:45:12
#34 0x0000000002ae1789 llvm::function_ref<mlir::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>::operator()(std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) const /data/llvm/llvm/include/llvm/ADT/STLFunctionalExtras.h:68:12
#35 0x0000000002ae0d65 mlir::splitAndProcessBuffer(std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<mlir::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>, llvm::raw_ostream&, bool, bool) /data/llvm/mlir/lib/Support/ToolUtilities.cpp:28:12
#36 0x00000000029b4159 mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<mlir::LogicalResult (mlir::PassManager&)>, mlir::DialectRegistry&, bool, bool, bool, bool, bool) /data/llvm/mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:169:10
#37 0x00000000029b429a mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::PassPipelineCLParser const&, mlir::DialectRegistry&, bool, bool, bool, bool, bool) /data/llvm/mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:187:10
#38 0x00000000029b4c06 mlir::MlirOptMain(int, char**, llvm::StringRef, mlir::DialectRegistry&, bool) /data/llvm/mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:269:14
#39 0x0000000000411c2e main /data/llvm/mlir/tools/mlir-opt/mlir-opt.cpp:237:7
#40 0x00007fb6dfcfdc87 __libc_start_main /build/glibc-CVJwZb/glibc-2.27/csu/../csu/libc-start.c:344:0
#41 0x0000000000411aca _start (/data/llvm/mlir/build/bin/mlir-opt+0x411aca)
Aborted (core dumped)
```
[temp.mlir](https://github.com/llvm/llvm-project/files/9879326/temp.mlir.txt) is minimized test case, and please refered to this [post](https://discourse.llvm.org/t/problems-with-using-affine-data-copy-generate/66232) to see the detail.
```
#map4 = affine_map<() -> ()>
module {
func.func @test_greater(%arg0: tensor<13x21x1xf32>, %arg1: tensor<13x21x3xf32>) {
%1 = tensor.collapse_shape %arg0 [[0], [1, 2]] : tensor<13x21x1xf32> into tensor<13x21xf32>
%2 = bufferization.to_memref %1 : memref<13x21xf32>
%9 = memref.alloc() : memref<13x21xf32, 1>
affine.for %arg2 = max #map4() to min #map4() {
affine.for %arg3 = 0 to 21 {
%13 = affine.load %2[%arg2, %arg3] : memref<13x21xf32>
affine.store %13, %9[%arg2, %arg3] : memref<13x21xf32, 1>
}
}
return
}
}
```
Commit : [#451b1ff3](https://github.com/llvm/llvm-project/commit/451b1ff37639e8a6194940fbf5ffdc23b8b4af28)
</pre>
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