8000 [iree][llvm]error in converting an linalg mlir into llvm using nvvm · Issue #20635 · iree-org/iree · GitHub
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[iree][llvm]error in converting an linalg mlir into llvm using nvvm #20635

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piyushhingu opened this issue Apr 25, 2025 · 1 comment
Open

[iree][llvm]error in converting an linalg mlir into llvm using nvvm #20635

piyushhingu opened this issue Apr 25, 2025 · 1 comment
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@piyushhingu
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piyushhingu commented Apr 25, 2025 •
edited by marbre
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What happened?

0.	Program arguments: /workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/tools/../_mlir_libs/iree-opt --iree-convert-to-nvvm
 #0 0x000071c5463c2448 llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/_mlir_libs/libIREECompiler.so+0x57c2448)
 #1 0x000071c5463c01ee llvm::sys::RunSignalHandlers() (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/_mlir_libs/libIREECompiler.so+0x57c01ee)
 #2 0x000071c5463c2af6 SignalHandler(int, siginfo_t*, void*) Signals.cpp:0:0
 #3 0x000071c540a19520 (/usr/lib/x86_64-linux-gnu/libc.so.6+0x42520)
 #4 0x000071c5465ae9f8 mlir::iree_compiler::IREE::GPU::TargetAttr::getCUDAComputeCapability() const IREEGPUAttrs.cpp:0:0
 #5 0x000071c54805a424 mlir::iree_compiler::(anonymous namespace)::ConvertToNVVMPass::runOnOperation() ConvertToNVVM.cpp:0:0
 #6 0x000071c54660dfdb mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/_mlir_libs/libIREECompiler.so+0x5a0dfdb)
 #7 0x000071c546611eeb mlir::PassManager::run(mlir::Operation*) (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/_mlir_libs/libIREECompiler.so+0x5a11eeb)
 #8 0x000071c54660591e performActions(llvm::raw_ostream&, std::shared_ptr<llvm::SourceMgr> const&, mlir::MLIRContext*, mlir::MlirOptMainConfig const&) MlirOptMain.cpp:0:0
 #9 0x000071c54660559c 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
#10 0x000071c5466074f2 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)
#11 0x000071c5466004b2 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)
#12 0x000071c54632376d ireeOptRunMain (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/_mlir_libs/libIREECompiler.so+0x572376d)
#13 0x000071c540a00d90 __libc_start_call_main ./csu/../sysdeps/nptl/libc_start_call_main.h:58:16
#14 0x000071c540a00e40 call_init ./csu/../csu/libc-start.c:128:20
#15 0x000071c540a00e40 __libc_start_main ./csu/../csu/libc-start.c:379:5
#16 0x000000000020169e _start (/workspace/docker/mlir_venv/lib/python3.10/site-packages/iree/compiler/tools/../_mlir_libs/iree-opt+0x20169e)

Steps to reproduce your issue

convert an model into onnx
use this command to convert into linalg
$ iree-opt iree_onnx.mlir --torch-onnx-to-torch-backend-pipeline --torch-backend-to-linalg-on-tensors-backend-pipeline -o iree_linalg.mlir
convert this linalg into llvm using this
mlir-opt iree_linalg.mlir --linalg-generalize-named-ops | iree-opt -pass-pipeline="builtin.module(convert-func-to-spirv,torch-func-backend-type-conversion,iree-codegen-iree-bufferize-constants,iree-convert-to-llvm)" | iree-opt --iree-convert-to-nvvm

What component(s) does this issue relate to?

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@piyushhingu piyushhingu added the bug 🐞 Something isn't working label Apr 25, 2025
@krzysz00
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First note: you've got conversion to spir-v in your pipeline while you're going to LLVM. Try removing that

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