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Crash while running Concrete ML #66725

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marcelocirilo opened this issue Sep 19, 2023 · 4 comments
Closed

Crash while running Concrete ML #66725

marcelocirilo opened this issue Sep 19, 2023 · 4 comments
Labels
crash Prefer [crash-on-valid] or [crash-on-invalid] mlir

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@marcelocirilo
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marcelocirilo commented Sep 19, 2023 •
edited by rikhuijzer
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I tried this code:

from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split
from concrete.ml.sklearn import LogisticRegression

# Lets create a synthetic data-set
x, y = make_classification(n_samples=100, class_sep=2, n_features=30, random_state=42)

# Split the data-set into a train and test set
X_train, X_test, y_train, y_test = train_test_split(
    x, y, test_size=0.2, random_state=42
)

# Now we train in the clear and quantize the weights
model = LogisticRegression(n_bits=8)
model.fit(X_train, y_train)

# We can simulate the predictions in the clear
y_pred_clear = model.predict(X_test)

# We then compile on a representative set 
model.compile(X_train)

# Finally we run the inference on encrypted inputs !
y_pred_fhe = model.predict(X_test, fhe="execute")

print("In clear  :", y_pred_clear)
print("In FHE    :", y_pred_fhe)
print(f"Similarity: {int((y_pred_fhe == y_pred_clear).mean()*100)}%")

# Output:
    # In clear  : [0 0 0 0 1 0 1 0 1 1 0 0 1 0 0 1 1 1 0 0]
    # In FHE    : [0 0 0 0 1 0 1 0 1 1 0 0 1 0 0 1 1 1 0 0]
    # Similarity: 100%

but I got this?

 #0 0x00007f0d6bae5b91 llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x13b4b91)
 #1 0x00007f0d6bae35a4 SignalHandler(int) Signals.cpp:0:0
 #2 0x00007f0dfb372520 (/lib/x86_64-linux-gnu/libc.so.6+0x42520)
 #3 0x00007f0d6fecc652 concrete_optimizer::dag::unparametrized::OperationDag::new::h9a051e100108e97d (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x579b652)
 #4 0x00007f0d6fec56aa cxx::unwind::prevent_unwind::hb298ae28e065ccf9 (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x57946aa)
 #5 0x00007f0d6fec19da concrete_optimizer::dag::empty() (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x57909da)
 #6 0x00007f0d6f17d378 mlir::concretelang::optimizer::(anonymous namespace)::FunctionToDag::build() ConcreteOptimizer.cpp:0:0
 #7 0x00007f0d6f17f718 mlir::concretelang::optimizer::DagPass::runOnOperation() (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x4a4e718)
 #8 0x00007f0d6ba1f452 mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x12ee452)
 #9 0x00007f0d6ba1fa29 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x12eea29)
#10 0x00007f0d6ba20a33 mlir::detail::OpToOpPassAdaptor::runOnOperationImpl(bool) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x12efa33)
#11 0x00007f0d6ba1f146 mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x12ee146)
#12 0x00007f0d6ba1fa29 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x12eea29)
#13 0x00007f0d6ba20531 mlir::PassManager::run(mlir::Operation*) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x12ef531)
#14 0x00007f0d6d73316b mlir::concretelang::pipeline::getFHEContextFromFHE[abi:cxx11](mlir::MLIRContext&, mlir::ModuleOp&, mlir::concretelang::optimizer::Config, std::function<bool (mlir::Pass*)>) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x300216b)
#15 0x00007f0d6d70c1b0 mlir::concretelang::CompilerEngine::getConcreteOptimizerDescription(mlir::concretelang::CompilerEngine::CompilationResult&) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x2fdb1b0)
#16 0x00007f0d6d70c8dd mlir::concretelang::CompilerEngine::determineFHEParameters(mlir::concretelang::CompilerEngine::CompilationResult&) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x2fdb8dd)
#17 0x00007f0d6d70f9d6 mlir::concretelang::CompilerEngine::compile(llvm::SourceMgr&, mlir::concretelang::CompilerEngine::Target, std::optional<std::shared_ptr<mlir::concretelang::CompilerEngine::Library> >) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x2fde9d6)
#18 0x00007f0d6d7150ac mlir::concretelang::CompilerEngine::compile(llvm::SourceMgr&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, bool, bool, bool, bool, bool) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x2fe40ac)
#19 0x00007f0d6b8b784c mlir::concretelang::LibrarySupport::compile(llvm::SourceMgr&, mlir::concretelang::CompilationOptions) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x118684c)
#20 0x00007f0d6b8ba01a library_compile(LibrarySupport_Py, char const*, mlir::concretelang::CompilationOptions) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x118901a)
#21 0x00007f0deb4cfadc (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/_concretelang.cpython-310-x86_64-linux-gnu.so+0x5cadc)
#22 0x00007f0deb4afb4d (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/_concretelang.cpython-310-x86_64-linux-gnu.so+0x3cb4d)
#23 0x00007f0deb496177 (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/_concretelang.cpython-310-x86_64-linux-gnu.so+0x23177)
#24 0x000055c967ffae0e (/usr/bin/python3.10+0x15fe0e)
#25 0x000055c967ff15eb _PyObject_MakeTpCall (/usr/bin/python3.10+0x1565eb)
#26 0x000055c9680097bb (/usr/bin/python3.10+0x16e7bb)
#27 0x000055c967fe98a2 _PyEval_EvalFrameDefault (/usr/bin/python3.10+0x14e8a2)
#28 0x000055c967ffb70c _PyFunction_Vectorcall (/usr/bin/python3.10+0x16070c)
#29 0x000055c967fe3f52 _PyEval_EvalFrameDefault (/usr/bin/python3.10+0x148f52)
#30 0x000055c967ffb70c _PyFunction_Vectorcall (/usr/bin/python3.10+0x16070c)
#31 0x000055c967fe98a2 _PyEval_EvalFrameDefault (/usr/bin/python3.10+0x14e8a2)
#32 0x000055c967ffb70c _PyFunction_Vectorcall (/usr/bin/python3.10+0x16070c)
#33 0x000055c967fe3f52 _PyEval_EvalFrameDefault (/usr/bin/python3.10+0x148f52)
#34 0x000055c967ff0784 _PyObject_FastCallDictTstate (/usr/bin/python3.10+0x155784)
#35 0x000055c968005744 (/usr/bin/python3.10+0x16a744)
#36 0x000055c967ff158c _PyObject_MakeTpCall (/usr/bin/python3.10+0x15658c)
#37 0x000055c967fe9c66 _PyEval_EvalFrameDefault (/usr/bin/python3.10+0x14ec66)
#38 0x000055c9680094e1 (/usr/bin/python3.10+0x16e4e1)
#39 0x000055c967fe50d1 _PyEval_EvalFrameDefault (/usr/bin/python3.10+0x14a0d1)
#40 0x000055c9680094e1 (/usr/bin/python3.10+0x16e4e1)
#41 0x000055c967fe98a2 _PyEval_EvalFrameDefault (/usr/bin/python3.10+0x14e8a2)
#42 0x000055c9680d4e56 (/usr/bin/python3.10+0x239e56)
#43 0x000055c9680d4cf6 PyEval_EvalCode (/usr/bin/python3.10+0x239cf6)
#44 0x000055c9680ff7d8 (/usr/bin/python3.10+0x2647d8)
#45 0x000055c9680f90bb (/usr/bin/python3.10+0x25e0bb)
#46 0x000055c9680ff525 (/usr/bin/python3.10+0x264525)
#47 0x000055c9680fea08 _PyRun_SimpleFileObject (/usr/bin/python3.10+0x263a08)
#48 0x000055c9680fe653 _PyRun_AnyFileObject (/usr/bin/python3.10+0x263653)
#49 0x000055c9680f141e Py_RunMain (/usr/bin/python3.10+0x25641e)
#50 0x000055c9680c7cad Py_BytesMain (/usr/bin/python3.10+0x22ccad)
#51 0x00007f0dfb359d90 __libc_start_call_main ./csu/../sysdeps/nptl/libc_start_call_main.h:58:16
#52 0x00007f0dfb359e40 call_init ./csu/../csu/libc-start.c:128:20
#53 0x00007f0dfb359e40 __libc_start_main ./csu/../csu/libc-start.c:379:5
#54 0x000055c9680c7ba5 _start (/usr/bin/python3.10+0x22cba5)
PLEASE submit a bug report to https://github.com/llvm/llvm-project/issues/ and include the crash backtrace.
Instrução ilegal (imagem do núcleo gravada)
@EugeneZelenko EugeneZelenko added mlir crash Prefer [crash-on-valid] or [crash-on-invalid] and removed new issue labels Sep 19, 2023
@llvmbot
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llvmbot commented Sep 19, 2023

@llvm/issue-subscribers-mlir

I tried this code:

from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split
from concrete.ml.sklearn import LogisticRegression

Lets create a synthetic data-set

x, y = make_classification(n_samples=100, class_sep=2, n_features=30, random_state=42)

Split the data-set into a train and test set

X_train, X_test, y_train, y_test = train_test_split(
x, y, test_size=0.2, random_state=42
)

Now we train in the clear and quantize the weights

model = LogisticRegression(n_bits=8)
model.fit(X_train, y_train)

We can simulate the predictions in the clear

y_pred_clear = model.predict(X_test)

We then compile on a representative set

model.compile(X_train)

Finally we run the inference on encrypted inputs !

y_pred_fhe = model.predict(X_test, fhe="execute")

print("In clear :", y_pred_clear)
print("In FHE :", y_pred_fhe)
print(f"Similarity: {int((y_pred_fhe == y_pred_clear).mean()*100)}%")

Output:

# In clear  : [0 0 0 0 1 0 1 0 1 1 0 0 1 0 0 1 1 1 0 0]
# In FHE    : [0 0 0 0 1 0 1 0 1 1 0 0 1 0 0 1 1 1 0 0]
# Similarity: 100%

but I got this?

#0 0x00007f0d6bae5b91 llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x13b4b91)
#1 0x00007f0d6bae35a4 SignalHandler(int) Signals.cpp:0:0
#2 0x00007f0dfb372520 (/lib/x86_64-linux-gnu/libc.so.6+0x42520)
#3 0x00007f0d6fecc652 concrete_optimizer::dag::unparametrized::OperationDag::new::h9a051e100108e97d (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x579b652)
#4 0x00007f0d6fec56aa cxx::unwind::prevent_unwind::hb298ae28e065ccf9 (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x57946aa)
#5 0x00007f0d6fec19da concrete_optimizer::dag::empty() (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x57909da)
#6 0x00007f0d6f17d378 mlir::concretelang::optimizer::(anonymous namespace)::FunctionToDag::build() ConcreteOptimizer.cpp:0:0
#7 0x00007f0d6f17f718 mlir::concretelang::optimizer::DagPass::runOnOperation() (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x4a4e718)
#8 0x00007f0d6ba1f452 mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x12ee452)
#9 0x00007f0d6ba1fa29 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x12eea29)
#10 0x00007f0d6ba20a33 mlir::detail::OpToOpPassAdaptor::runOnOperationImpl(bool) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x12efa33)
#11 0x00007f0d6ba1f146 mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x12ee146)
#12 0x00007f0d6ba1fa29 mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x12eea29)
#13 0x00007f0d6ba20531 mlir::PassManager::run(mlir::Operation*) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x12ef531)
#14 0x00007f0d6d73316b mlir::concretelang::pipeline::getFHEContextFromFHE[abi:cxx11](mlir::MLIRContext&, mlir::ModuleOp&, mlir::concretelang::optimizer::Config, std::function<bool (mlir::Pass*)>) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x300216b)
#15 0x00007f0d6d70c1b0 mlir::concretelang::CompilerEngine::getConcreteOptimizerDescription(mlir::concretelang::CompilerEngine::CompilationResult&) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x2fdb1b0)
#16 0x00007f0d6d70c8dd mlir::concretelang::CompilerEngine::determineFHEParameters(mlir::concretelang::CompilerEngine::CompilationResult&) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x2fdb8dd)
#17 0x00007f0d6d70f9d6 mlir::concretelang::CompilerEngine::compile(llvm::SourceMgr&, mlir::concretelang::CompilerEngine::Target, std::optional<std::shared_ptr<mlir::concretelang::CompilerEngine::Library> >) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x2fde9d6)
#18 0x00007f0d6d7150ac mlir::concretelang::CompilerEngine::compile(llvm::SourceMgr&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, bool, bool, bool, bool, bool) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x2fe40ac)
#19 0x00007f0d6b8b784c mlir::concretelang::LibrarySupport::compile(llvm::SourceMgr&, mlir::concretelang::CompilationOptions) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x118684c)
#20 0x00007f0d6b8ba01a library_compile(LibrarySupport_Py, char const*, mlir::concretelang::CompilationOptions) (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/libConcretelangBindingsPythonCAPI.so+0x118901a)
#21 0x00007f0deb4cfadc (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/_concretelang.cpython-310-x86_64-linux-gnu.so+0x5cadc)
#22 0x00007f0deb4afb4d (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/_concretelang.cpython-310-x86_64-linux-gnu.so+0x3cb4d)
#23 0x00007f0deb496177 (/home/marcelo/Documentos/Projeto/teste3/lib/python3.10/site-packages/mlir/_mlir_libs/_concretelang.cpython-310-x86_64-linux-gnu.so+0x23177)
#24 0x000055c967ffae0e (/usr/bin/python3.10+0x15fe0e)
#25 0x000055c967ff15eb _PyObject_MakeTpCall (/usr/bin/python3.10+0x1565eb)
#26 0x000055c9680097bb (/usr/bin/python3.10+0x16e7bb)
#27 0x000055c967fe98a2 _PyEval_EvalFrameDefault (/usr/bin/python3.10+0x14e8a2)
#28 0x000055c967ffb70c _PyFunction_Vectorcall (/usr/bin/python3.10+0x16070c)
#29 0x000055c967fe3f52 _PyEval_EvalFrameDefault (/usr/bin/python3.10+0x148f52)
#30 0x000055c967ffb70c _PyFunction_Vectorcall (/usr/bin/python3.10+0x16070c)
#31 0x000055c967fe98a2 _PyEval_EvalFrameDefault (/usr/bin/python3.10+0x14e8a2)
#32 0x000055c967ffb70c _PyFunction_Vectorcall (/usr/bin/python3.10+0x16070c)
#33 0x000055c967fe3f52 _PyEval_EvalFrameDefault (/usr/bin/python3.10+0x148f52)
#34 0x000055c967ff0784 _PyObject_FastCallDictTstate (/usr/bin/python3.10+0x155784)
#35 0x000055c968005744 (/usr/bin/python3.10+0x16a744)
#36 0x000055c967ff158c _PyObject_MakeTpCall (/usr/bin/python3.10+0x15658c)
#37 0x000055c967fe9c66 _PyEval_EvalFrameDefault (/usr/bin/python3.10+0x14ec66)
#38 0x000055c9680094e1 (/usr/bin/python3.10+0x16e4e1)
#39 0x000055c967fe50d1 _PyEval_EvalFrameDefault (/usr/bin/python3.10+0x14a0d1)
#40 0x000055c9680094e1 (/usr/bin/python3.10+0x16e4e1)
#41 0x000055c967fe98a2 _PyEval_EvalFrameDefault (/usr/bin/python3.10+0x14e8a2)
#42 0x000055c9680d4e56 (/usr/bin/python3.10+0x239e56)
#43 0x000055c9680d4cf6 PyEval_EvalCode (/usr/bin/python3.10+0x239cf6)
#44 0x000055c9680ff7d8 (/usr/bin/python3.10+0x2647d8)
#45 0x000055c9680f90bb (/usr/bin/python3.10+0x25e0bb)
#46 0x000055c9680ff525 (/usr/bin/python3.10+0x264525)
#47 0x000055c9680fea08 _PyRun_SimpleFileObject (/usr/bin/python3.10+0x263a08)
#48 0x000055c9680fe653 _PyRun_AnyFileObject (/usr/bin/python3.10+0x263653)
#49 0x000055c9680f141e Py_RunMain (/usr/bin/python3.10+0x25641e)
#50 0x000055c9680c7cad Py_BytesMain (/usr/bin/python3.10+0x22ccad)
#51 0x00007f0dfb359d90 __libc_start_call_main ./csu/../sysdeps/nptl/libc_start_call_main.h:58:16
#52 0x00007f0dfb359e40 call_init ./csu/../csu/libc-start.c:128:20
#53 0x00007f0dfb359e40 __libc_start_main ./csu/../csu/libc-start.c:379:5
#54 0x000055c9680c7ba5 _start (/usr/bin/python3.10+0x22cba5)
PLEASE submit a bug report to https://github.com/llvm/llvm-project/issues/ and include the crash backtrace.
Instrução ilegal (imagem do núcleo gravada)

@xgupta xgupta changed the title Instrução ilegal (imagem do núcleo gravada) illegal instruction (core-dumped) Sep 20, 2023
@rikhuijzer
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rikhuijzer commented Oct 4, 2023 •
edited
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Related issues:

All three these issues are related to the Concrete ML (https://github.com/zama-ai/concrete-ml) Python package called concrete-ml.

I'll try to see if I can find the root cause and submit a patch within a few days.

@rikhuijzer
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@marcelocirilo I have no problems to run your code on an M1 chip:

$ python3.10 tmp.py
In clear  : [0 0 0 0 1 0 1 0 1 1 0 0 1 0 0 1 1 1 0 0]
In FHE    : [0 0 0 0 1 0 1 0 1 1 0 0 1 0 0 1 1 1 0 0]
Similarity: 100%

Could you provide more information such as

$pip show concrete-compiler

and your system? Especially the CPU. Basically anything we could need to reproduce your issue.

It could be that your CPU is too old (zama-ai/concrete-ml#62 (comment)).

@rikhuijzer rikhuijzer changed the title illegal instruction (core-dumped) Crash while running Concrete ML Nov 22, 2023
@rikhuijzer
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Okay we cannot reproduce and it's probably fixed (either here at MLIR or at concrete-ml (related comment)) since no new reports have come in. I'll close this issue.

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@EugeneZelenko @rikhuijzer @llvmbot @marcelocirilo