[iree-opt][llvm] fails to convet an linalg to llvm using pipeline

[piyushhingu]

What happened?

0.	Program arguments: /workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/tools/../_mlir_libs/iree-opt -pass-pipeline=builtin.module(func.func(iree-codegen-linalg-to-llvm-pipeline)) mlirs/linalg.mlir
 #0 0x00007e87cd7c2448 llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/_mlir_libs/libIREECompiler.so+0x57c2448)
 #1 0x00007e87cd7c01ee llvm::sys::RunSignalHandlers() (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/_mlir_libs/libIREECompiler.so+0x57c01ee)
 #2 0x00007e87cd7c2af6 SignalHandler(int, siginfo_t*, void*) Signals.cpp:0:0
 #3 0x00007e87c7e19520 (/usr/lib/x86_64-linux-gnu/libc.so.6+0x42520)
 #4 0x00007e87c7e6d9fc __pthread_kill_implementation ./nptl/pthread_kill.c:44:76
 #5 0x00007e87c7e6d9fc __pthread_kill_internal ./nptl/pthread_kill.c:78:10
 #6 0x00007e87c7e6d9fc pthread_kill ./nptl/pthread_kill.c:89:10
 #7 0x00007e87c7e19476 gsignal ./signal/../sysdeps/posix/raise.c:27:6
 #8 0x00007e87c7dff7f3 abort ./stdlib/abort.c:81:7
 #9 0x00007e87cd7417d3 llvm::report_fatal_error(llvm::Twine const&, bool) (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/_mlir_libs/libIREECompiler.so+0x57417d3)
#10 0x00007e87cda0bb25 (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/_mlir_libs/libIREECompiler.so+0x5a0bb25)
#11 0x00007e87cda0bb4a mlir::OpPassManager::addPass(std::unique_ptr<mlir::Pass, std::default_delete<mlir::Pass>>) (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/_mlir_libs/libIREECompiler.so+0x5a0bb4a)
#12 0x00007e87cf372313 mlir::iree_compiler::buildLLVMCPUCodegenPassPipeline(mlir::OpPassManager&, bool) Passes.cpp:0:0
#13 0x00007e87cf373fe3 std::_Function_handler<llvm::LogicalResult (mlir::OpPassManager&, llvm::StringRef, llvm::function_ref<llvm::LogicalResult (llvm::Twine const&)>), mlir::PassPipelineRegistration<mlir::iree_compiler::registerCodegenLLVMCPUPasses()::LinalgToLLVMPipelineOptions>::PassPipelineRegistration(llvm::StringRef, llvm::StringRef, std::function<void (mlir::OpPassManager&, mlir::iree_compiler::registerCodegenLLVMCPUPasses()::LinalgToLLVMPipelineOptions const&)>)::'lambda'(mlir::OpPassManager&, llvm::StringRef, llvm::function_ref<llvm::LogicalResult (llvm::Twine const&)>)>::_M_invoke(std::_Any_data const&, mlir::OpPassManager&, llvm::StringRef&&, llvm::function_ref<llvm::LogicalResult (llvm::Twine const&)>&&) Passes.cpp:0:0
#14 0x00007e87cda219a8 (anonymous namespace)::TextualPipeline::addToPipeline(llvm::ArrayRef<(anonymous namespace)::TextualPipeline::PipelineElement>, mlir::OpPassManager&, llvm::function_ref<llvm::LogicalResult (llvm::Twine const&)>) const PassRegistry.cpp:0:0
#15 0x00007e87cda21953 (anonymous namespace)::TextualPipeline::addToPipeline(llvm::ArrayRef<(anonymous namespace)::TextualPipeline::PipelineElement>, mlir::OpPassManager&, llvm::function_ref<llvm::LogicalResult (llvm::Twine const&)>) const PassRegistry.cpp:0:0
#16 0x00007e87cda207fc mlir::parsePassPipeline(llvm::StringRef, mlir::OpPassManager&, llvm::raw_ostream&) (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/_mlir_libs/libIREECompiler.so+0x5a207fc)
#17 0x00007e87cda1fb28 mlir::parsePassPipeline(llvm::StringRef, llvm::raw_ostream&) (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/_mlir_libs/libIREECompiler.so+0x5a1fb28)
#18 0x00007e87cda20f08 mlir::PassPipelineCLParser::addToPipeline(mlir::OpPassManager&, llvm::function_ref<llvm::LogicalResult (llvm::Twine const&)>) const (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/_mlir_libs/libIREECompiler.so+0x5a20f08)
#19 0x00007e87cda050cc std::_Function_handler<llvm::LogicalResult (mlir::PassManager&), mlir::MlirOptMainConfig::setPassPipelineParser(mlir::PassPipelineCLParser const&)::$_0>::_M_invoke(std::_Any_data const&, mlir::PassManager&) MlirOptMain.cpp:0:0
#20 0x00007e87cda05904 performActions(llvm::raw_ostream&, std::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) MlirOptMain.cpp:0:0
#21 0x00007e87cda0559c llvm::LogicalResult llvm::function_ref<llvm::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>::callback_fn<mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&)::$_0>(long, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) MlirOptMain.cpp:0:0
#22 0x00007e87cda074f2 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) (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/_mlir_libs/libIREECompiler.so+0x5a074f2)
#23 0x00007e87cda004b2 mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::DialectRegistry&, mlir::MlirOptMainConfig const&) (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/_mlir_libs/libIREECompiler.so+0x5a004b2)
#24 0x00007e87cd72376d ireeOptRunMain (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/_mlir_libs/libIREECompiler.so+0x572376d)
#25 0x00007e87c7e00d90 __libc_start_call_main ./csu/../sysdeps/nptl/libc_start_call_main.h:58:16
#26 0x00007e87c7e00e40 call_init ./csu/../csu/libc-start.c:128:20
#27 0x00007e87c7e00e40 __libc_start_main ./csu/../csu/libc-start.c:379:5
#28 0x000000000020169e _start (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/tools/../_mlir_libs/iree-opt+0x20169e)

Steps to reproduce your issue

1. convert an inception-v3 into onnx file using torch.onnx.export
2. convert this onnx into torch and than into linalg mlir

What component(s) does this issue relate to?

No response

Version information

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Additional context

No response