Issue |
114760
|
Summary |
[MLIR]-tosa-optional-decompositions triggers Assertion Failure `isa<To>(Val) && "cast<Ty>() argument of incompatible type!"'
|
Labels |
mlir
|
Assignees |
|
Reporter |
xisang0
|
Test on commit: https://github.com/llvm/llvm-project/commit/efd8938d575d1f8058bfe220e4c672d969c82be0
steps to reproduceļ¼
```
mlir-opt test.mlir -tosa-optional-decompositions
```
test case:
```
module {
func.func @main(%arg0: tensor<1x32x32x8x!quant.uniform<i8:f32, 0.015684768557548523>>, %arg1: tensor<16x1x1x8x!quant.uniform<i8<-127:127>:f32, 0.015680249780416489>>, %arg2: tensor<16xi32>, %arg3: tensor<2x3xi32>) -> (tensor<1x32x32x16x!quant.uniform<i8:f32, 0.078431375324726104>>) {
%0 = tosa.conv2d %arg0, %arg1, %arg2 {dilation = array<i64: 2, 1>, pad = array<i64: 1, 1, 2, 2>, quantization_info = #tosa.conv_quant<input_zp = -1, weight_zp = 0>, stride = array<i64: 1, 1>} : (tensor<1x32x32x8x!quant.uniform<i8:f32, 0.015684768557548523>>, tensor<16x1x1x8x!quant.uniform<i8<-127:127>:f32, 0.015680249780416489>>, tensor<16xi32>) -> tensor<1x32x32x16x!quant.uniform<i8:f32, 0.078431375324726104>>
return %0 : tensor<1x32x32x16x!quant.uniform<i8:f32, 0.078431375324726104>>
}
}
```
crash trace:
```
mlir-opt: /home/workdir/llvm-project-19/llvm/include/llvm/Support/Casting.h:572: decltype(auto) llvm::cast(From &) [To = mlir::IntegerType, From = mlir::Type]: Assertion `isa<To>(Val) && "cast<Ty>() argument of incompatible type!"' 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 /home/workdir/test4.mlir -tosa-optional-decompositions
#0 0x00006422532d5998 llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (./mlir-opt+0x105e998)
#1 0x00006422532d34be llvm::sys::RunSignalHandlers() (./mlir-opt+0x105c4be)
#2 0x00006422532d63a8 SignalHandler(int) Signals.cpp:0:0
#3 0x0000746e95363520 (/lib/x86_64-linux-gnu/libc.so.6+0x42520)
#4 0x0000746e953b79fc pthread_kill (/lib/x86_64-linux-gnu/libc.so.6+0x969fc)
#5 0x0000746e95363476 gsignal (/lib/x86_64-linux-gnu/libc.so.6+0x42476)
#6 0x0000746e953497f3 abort (/lib/x86_64-linux-gnu/libc.so.6+0x287f3)
#7 0x0000746e9534971b (/lib/x86_64-linux-gnu/libc.so.6+0x2871b)
#8 0x0000746e9535ae96 (/lib/x86_64-linux-gnu/libc.so.6+0x39e96)
#9 0x000064225581f14c (./mlir-opt+0x35a814c)
#10 0x00006422558708f4 (anonymous namespace)::Conv2DIsFullyConnected::matchAndRewrite(mlir::tosa::Conv2DOp, mlir::PatternRewriter&) const TosaDecomposeConv2D.cpp:0:0
#11 0x0000642258530b5a void llvm::function_ref<void ()>::callback_fn<mlir::PatternApplicator::matchAndRewrite(mlir::Operation*, mlir::PatternRewriter&, llvm::function_ref<bool (mlir::Pattern const&)>, llvm::function_ref<void (mlir::Pattern const&)>, llvm::function_ref<llvm::LogicalResult (mlir::Pattern const&)>)::$_0>(long) PatternApplicator.cpp:0:0
#12 0x000064225852d79f mlir::PatternApplicator::matchAndRewrite(mlir::Operation*, mlir::PatternRewriter&, llvm::function_ref<bool (mlir::Pattern const&)>, llvm::function_ref<void (mlir::Pattern const&)>, llvm::function_ref<llvm::LogicalResult (mlir::Pattern const&)>) (./mlir-opt+0x62b679f)
#13 0x00006422565738ee (anonymous namespace)::GreedyPatternRewriteDriver::processWorklist() GreedyPatternRewriteDriver.cpp:0:0
#14 0x000064225657038b mlir::applyPatternsAndFoldGreedily(mlir::Region&, mlir::FrozenRewritePatternSet const&, mlir::GreedyRewriteConfig, bool*) (./mlir-opt+0x42f938b)
#15 0x00006422558521ab (anonymous namespace)::TosaOptionalDecompositions::runOnOperation() TosaOptionalDecompositions.cpp:0:0
#16 0x00006422564fa8bf mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (./mlir-opt+0x42838bf)
#17 0x00006422564fb0a2 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (./mlir-opt+0x42840a2)
#18 0x00006422565007be auto void mlir::parallelForEach<__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>, mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::$_0>(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)::$_0&&)::'lambda'(__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>&&)::operator()<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo&>(__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>&&) const Pass.cpp:0:0
#19 0x00006422564fc8ab mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool) (./mlir-opt+0x42858ab)
#20 0x00006422564faa1c mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (./mlir-opt+0x4283a1c)
#21 0x00006422564fb0a2 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (./mlir-opt+0x42840a2)
#22 0x00006422564fd84e mlir::PassManager::run(mlir::Operation*) (./mlir-opt+0x428684e)
#23 0x00006422564f6372 performActions(llvm::raw_ostream&, std::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) MlirOptMain.cpp:0:0
#24 0x00006422564f5fdb llvm::LogicalResult llvm::function_ref<llvm::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>::callback_fn<mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&)::$_0>(long, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) MlirOptMain.cpp:0:0
#25 0x000064225659f9b5 mlir::splitAndProcessBuffer(std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<llvm::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>, llvm::raw_ostream&, llvm::StringRef, llvm::StringRef) (./mlir-opt+0x43289b5)
#26 0x00006422564f11d2 mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&) (./mlir-opt+0x427a1d2)
#27 0x00006422564f1483 mlir::MlirOptMain(int, char**, llvm::StringRef, llvm::StringRef, mlir::DialectRegistry&) (./mlir-opt+0x427a483)
#28 0x00006422564f1692 mlir::MlirOptMain(int, char**, llvm::StringRef, mlir::DialectRegistry&) (./mlir-opt+0x427a692)
#29 0x00006422532b4b77 main (./mlir-opt+0x103db77)
#30 0x0000746e9534ad90 (/lib/x86_64-linux-gnu/libc.so.6+0x29d90)
#31 0x0000746e9534ae40 __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x29e40)
#32 0x00006422532b46f5 _start (./mlir-opt+0x103d6f5)
Aborted (core dumped)
```
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