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[mlir][TOSA] --tosa-validate crashed with assertion failure "cannot query rank of unranked shaped type" #67760

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Anonymous15592 opened this issue Sep 29, 2023 · 0 comments · Fixed by #68509

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@Anonymous15592
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git version: 8c12707

system: Ubuntu 20.04.6 LTS (Focal Fossa)

reproduced with: mlir-opt --tosa-validate a.mlir

a.mlir:

func.func @func2()  {
  %56 = tensor.empty() : tensor<25xi1>
  %82 = tosa.slice %56 {size = array<i64>, start = array<i64>} : (tensor<25xi1>) -> tensor<*xi1>
  return 
}
// Crash will disappear when func.func removed

trace:

mlir-opt: /data/bin/llvm-project/build/tools/mlir/include/mlir/IR/BuiltinTypeInterfaces.h.inc:156: int64_t mlir::ShapedType::getRank() const: Assertion `(*this).hasRank() && "cannot query rank of unranked shaped type"' failed.
PLEASE submit a bug report to https://github.com/llvm/llvm-project/issues/ and include the crash backtrace.
 #0 0x000055d5cfd14d4f llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (/data/bin/llvm-project/build/bin/mlir-opt+0x157cd4f)
 #1 0x000055d5cfd11de4 SignalHandler(int) Signals.cpp:0:0
 #2 0x00007fd5a1fd3420 __restore_rt (/lib/x86_64-linux-gnu/libpthread.so.0+0x14420)
 #3 0x00007fd5a1abe00b raise (/lib/x86_64-linux-gnu/libc.so.6+0x4300b)
 #4 0x00007fd5a1a9d859 abort (/lib/x86_64-linux-gnu/libc.so.6+0x22859)
 #5 0x00007fd5a1a9d729 (/lib/x86_64-linux-gnu/libc.so.6+0x22729)
 #6 0x00007fd5a1aaefd6 (/lib/x86_64-linux-gnu/libc.so.6+0x33fd6)
 #7 0x000055d5d1a48907 (anonymous namespace)::TosaValidation::levelCheckRank(mlir::Operation*, mlir::Value const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>> const&) (.isra.0) TosaValidation.cpp:0:0
 #8 0x000055d5d1a4da01 bool (anonymous namespace)::TosaValidation::levelCheckRanksFor<mlir::tosa::SliceOp>(mlir::Operation*) TosaValidation.cpp:0:0
 #9 0x000055d5d1a50b00 (anonymous namespace)::TosaValidation::levelCheckRanks(mlir::Operation*) TosaValidation.cpp:0:0
#10 0x000055d5d1a531d3 (anonymous namespace)::TosaValidation::applyLevelCheck(mlir::Operation*) TosaValidation.cpp:0:0
#11 0x000055d5d1a54067 void llvm::function_ref<void (mlir::Operation*)>::callback_fn<(anonymous namespace)::TosaValidation::runOnOperation()::'lambda'(mlir::Operation*)>(long, mlir::Operation*) TosaValidation.cpp:0:0
#12 0x000055d5d1a55d65 (anonymous namespace)::TosaValidation::runOnOperation() TosaValidation.cpp:0:0
#13 0x000055d5d2747e8e mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/data/bin/llvm-project/build/bin/mlir-opt+0x3fafe8e)
#14 0x000055d5d274836a mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (/data/bin/llvm-project/build/bin/mlir-opt+0x3fb036a)
#15 0x000055d5d2748d6c mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::'lambda'(mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo&)::operator()(mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo&) const Pass.cpp:0:0
#16 0x000055d5d2748f5f std::_Function_handler<void (), mlir::LogicalResult mlir::failableParallelForEach<__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>, mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::'lambda'(mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo&)&>(mlir::MLIRContext*, __gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>, __gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>, mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::'lambda'(mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo&)&)::'lambda'()>::_M_invoke(std::_Any_data const&) Pass.cpp:0:0
#17 0x000055d5d273c762 std::_Function_handler<void (), llvm::ThreadPool::createTaskAndFuture(std::function<void ()>)::'lambda'()>::_M_invoke(std::_Any_data const&) (/data/bin/llvm-project/build/bin/mlir-opt+0x3fa4762)
#18 0x000055d5d55ca298 llvm::ThreadPool::processTasks(llvm::ThreadPoolTaskGroup*) (/data/bin/llvm-project/build/bin/mlir-opt+0x6e32298)
#19 0x000055d5d55cb0d9 void* llvm::thread::ThreadProxy<std::tuple<llvm::ThreadPool::grow(int)::'lambda'()>>(void*) ThreadPool.cpp:0:0
#20 0x00007fd5a1fc7609 start_thread (/lib/x86_64-linux-gnu/libpthread.so.0+0x8609)
#21 0x00007fd5a1b9a133 __clone (/lib/x86_64-linux-gnu/libc.so.6+0x11f133)
Aborted (core dumped)
@github-actions github-actions bot added the mlir label Sep 29, 2023
gptsarthak added a commit to gptsarthak/llvm-project that referenced this issue Oct 11, 2023
levelCheckRank ensures that the tensors for tosa operations are not unranked
Fixes llvm#67760
GeorgeARM pushed a commit that referenced this issue Oct 23, 2023
Fixes #67760
`levelCheckRank` ensures that the tensors for tosa operations are not
unranked

During tosa validation in `levelCheckRank`, we were trying to get the
rank of a tensor without checking if it is ranked or unranked, which
leads to an `assert` error. I see two ways to fix this:

- Only check `type.getRank() > tosa_level.MAX_RANK` if the tensor is
ranked, and then proceed as usual.
(like `if (type.hasRank() && type.getRank() > tosa_level.MAX_RANK)` , OR
- Throw an error for unranked tensors as result.
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