Skip to content

Instantly share code, notes, and snippets.

@AmosLewis

AmosLewis/selectiveops_test_print.txt

Last active October 19, 2022 01:27
Show Gist options
  • Save AmosLewis/aedbf1488a9b2a9b8068ac6010f79a9c to your computer and use it in GitHub Desktop.
Save AmosLewis/aedbf1488a9b2a9b8068ac6010f79a9c to your computer and use it in GitHub Desktop.
Download ZIP
Raw
selectiveops_test_print.txt
(mlir_venv) nod% torch-mlir-opt -convert-torch-to-tosa /tmp/where.mlir
module {
func.func @torch.aten.where.self(%arg0: !torch.vtensor<[1,1,5,5],i1>, %arg1: !torch.vtensor<[1,12,5,5],f32>, %arg2: !torch.vtensor<[],f32>) -> !torch.vtensor<[1,12,5,5],f32> {
%0 = torch_c.to_builtin_tensor %arg0 : !torch.vtensor<[1,1,5,5],i1> -> tensor<1x1x5x5xi1>
%1 = torch_c.to_builtin_tensor %arg1 : !torch.vtensor<[1,12,5,5],f32> -> tensor<1x12x5x5xf32>
%2 = torch_c.to_builtin_tensor %arg2 : !torch.vtensor<[],f32> -> tensor<f32>
%3 = "tosa.select"(%0, %1, %2) : (tensor<1x1x5x5xi1>, tensor<1x12x5x5xf32>, tensor<f32>) -> tensor<1x12x5x5xf32>
%4 = torch_c.from_builtin_tensor %3 : tensor<1x12x5x5xf32> -> !torch.vtensor<[1,12,5,5],f32>
return %4 : !torch.vtensor<[1,12,5,5],f32>
}
}
(mlir_venv) nod% torch-mlir-opt -convert-torch-to-tosa -torch-decompose-complex-ops="legal-ops=torch.aten.where.self" /tmp/where.mlir
module {
func.func @torch.aten.where.self(%arg0: !torch.vtensor<[1,1,5,5],i1>, %arg1: !torch.vtensor<[1,12,5,5],f32>, %arg2: !torch.vtensor<[],f32>) -> !torch.vtensor<[1,12,5,5],f32> {
%0 = torch_c.to_builtin_tensor %arg0 : !torch.vtensor<[1,1,5,5],i1> -> tensor<1x1x5x5xi1>
%1 = torch_c.to_builtin_tensor %arg1 : !torch.vtensor<[1,12,5,5],f32> -> tensor<1x12x5x5xf32>
%2 = torch_c.to_builtin_tensor %arg2 : !torch.vtensor<[],f32> -> tensor<f32>
%3 = "tosa.select"(%0, %1, %2) : (tensor<1x1x5x5xi1>, tensor<1x12x5x5xf32>, tensor<f32>) -> tensor<1x12x5x5xf32>
%4 = torch_c.from_builtin_tensor %3 : tensor<1x12x5x5xf32> -> !torch.vtensor<[1,12,5,5],f32>
return %4 : !torch.vtensor<[1,12,5,5],f32>
}
}
(mlir_venv) nod% torch-mlir-opt -torch-backend-to-tosa-backend-pipeline -torch-decompose-complex-ops="legal-ops=torch.aten.where.self" /tmp/where.mlir
module {
func.func @torch.aten.where.self(%arg0: tensor<1x1x5x5xi1>, %arg1: tensor<1x12x5x5xf32>, %arg2: tensor<f32>) -> tensor<1x12x5x5xf32> {
%0 = "tosa.select"(%arg0, %arg1, %arg2) : (tensor<1x1x5x5xi1>, tensor<1x12x5x5xf32>, tensor<f32>) -> tensor<1x12x5x5xf32>
return %0 : tensor<1x12x5x5xf32>
}
}
(mlir_venv) nod% torch-mlir-opt -convert-torch-to-tosa /tmp/where.mlir
module {
func.func @torch.aten.where.self(%arg0: !torch.vtensor<[1,1,5,5],i1>, %arg1: !torch.vtensor<[1,12,5,5],f32>, %arg2: !torch.vtensor<[],f32>) -> !torch.vtensor<[1,12,5,5],f32> {
%0 = torch_c.to_builtin_tensor %arg0 : !torch.vtensor<[1,1,5,5],i1> -> tensor<1x1x5x5xi1>
%1 = torch_c.to_builtin_tensor %arg1 : !torch.vtensor<[1,12,5,5],f32> -> tensor<1x12x5x5xf32>
%2 = torch_c.to_builtin_tensor %arg2 : !torch.vtensor<[],f32> -> tensor<f32>
%3 = "tosa.select"(%0, %1, %2) : (tensor<1x1x5x5xi1>, tensor<1x12x5x5xf32>, tensor<f32>) -> tensor<1x12x5x5xf32>
%4 = torch_c.from_builtin_tensor %3 : tensor<1x12x5x5xf32> -> !torch.vtensor<[1,12,5,5],f32>
return %4 : !torch.vtensor<[1,12,5,5],f32>
}
}
@AmosLewis
Copy link
Author

AmosLewis commented Oct 19, 2022 •
edited
Loading 

(mlir_venv) nod% torch-mlir-opt -torch-decompose-complex-ops="legal-ops=torch.aten.softmax.int" test/Dialect/Torch/decompose-complex-ops-legal.mlir 
module {
  func.func @torch.aten.softmax.int$cst_dim(%arg0: !torch.tensor<[2,3],f32>) -> !torch.tensor<[2,3],f32> {
    %none = torch.constant.none
    %int1 = torch.constant.int 1
    %0 = torch.aten.softmax.int %arg0, %int1, %none : !torch.tensor<[2,3],f32>, !torch.int, !torch.none -> !torch.tensor<[2,3],f32>
    return %0 : !torch.tensor<[2,3],f32>
  }
}



(mlir_venv) nod% torch-mlir-opt -torch-decompose-complex-ops  test/Dialect/Torch/decompose-complex-ops-legal.mlir
 
module {
  func.func @torch.aten.softmax.int$cst_dim(%arg0: !torch.tensor<[2,3],f32>) -> !torch.tensor<[2,3],f32> {
    %none = torch.constant.none
    %int1 = torch.constant.int 1
    %true = torch.constant.bool true
    %values, %indices = torch.aten.max.dim %arg0, %int1, %true : !torch.tensor<[2,3],f32>, !torch.int, !torch.bool -> !torch.tensor<[2,1],f32>, !torch.tensor<[2,1],si64>
    %float1.000000e00 = torch.constant.float 1.000000e+00
    %0 = torch.aten.sub.Tensor %arg0, %values, %float1.000000e00 : !torch.tensor<[2,3],f32>, !torch.tensor<[2,1],f32>, !torch.float -> !torch.tensor<[2,3],f32>
    %1 = torch.aten.exp %0 : !torch.tensor<[2,3],f32> -> !torch.tensor<[2,3],f32>
    %2 = torch.prim.ListConstruct %int1 : (!torch.int) -> !torch.list<int>
    %true_0 = torch.constant.bool true
    %none_1 = torch.constant.none
    %3 = torch.aten.sum.dim_IntList %1, %2, %true_0, %none_1 : !torch.tensor<[2,3],f32>, !torch.list<int>, !torch.bool, !torch.none -> !torch.tensor<[2,1],f32>
    %4 = torch.aten.div.Tensor %1, %3 : !torch.tensor<[2,3],f32>, !torch.tensor<[2,1],f32> -> !torch.tensor<[2,3],f32>
    %5 = torch.tensor_static_info_cast %4 : !torch.tensor<[2,3],f32> to !torch.tensor<[2,3],f32>
    return %5 : !torch.tensor<[2,3],f32>
  }
}



(mlir_venv) nod% torch-mlir-opt -torch-decompose-complex-ops="legal-ops=torch.aten.softmax.int" -convert-torch-to-tosa  test/Dialect/Torch/decompose-complex-ops-legal.mlir
module {
  func.func @torch.aten.softmax.int$cst_dim(%arg0: !torch.tensor<[2,3],f32>) -> !torch.tensor<[2,3],f32> {
    %none = torch.constant.none
    %int1 = torch.constant.int 1
    %0 = torch.aten.softmax.int %arg0, %int1, %none : !torch.tensor<[2,3],f32>, !torch.int, !torch.none -> !torch.tensor<[2,3],f32>
    return %0 : !torch.tensor<[2,3],f32>
  }
}

(mlir_venv) nod% torch-mlir-opt -convert-torch-to-tosa  test/Dialect/Torch/decompose-complex-ops-legal.mlir 
module {
  func.func @torch.aten.softmax.int$cst_dim(%arg0: !torch.tensor<[2,3],f32>) -> !torch.tensor<[2,3],f32> {
    %none = torch.constant.none
    %int1 = torch.constant.int 1
    %0 = torch.aten.softmax.int %arg0, %int1, %none : !torch.tensor<[2,3],f32>, !torch.int, !torch.none -> !torch.tensor<[2,3],f32>
    return %0 : !torch.tensor<[2,3],f32>
  }
}

@AmosLewis
Copy link
Author

AmosLewis commented Oct 19, 2022 •
edited
Loading 

(mlir_venv) nod% torch-mlir-opt -torch-decompose-complex-ops -convert-torch-to-tosa  test/Dialect/Torch/decompose-complex-ops-legal.mlir 

test/Dialect/Torch/decompose-complex-ops-legal.mlir:8:10: error: failed to legalize operation 'torch.aten.max.dim' that was explicitly marked illegal
  %ret = torch.aten.softmax.int %t, %dim, %none : !torch.tensor<[2,3],f32>, !torch.int, !torch.none -> !torch.tensor<[2,3],f32>
         ^
test/Dialect/Torch/decompose-complex-ops-legal.mlir:8:10: note: see current operation: %3:2 = "torch.aten.max.dim"(%arg0, %1, %2) : (!torch.tensor<[2,3],f32>, !torch.int, !torch.bool) -> (!torch.tensor<[2,1],f32>, !torch.tensor<[2,1],si64>)



(mlir_venv) nod% torch-mlir-opt -torch-decompose-complex-ops -convert-torch-to-linalg  test/Dialect/Torch/decompose-complex-ops-legal.mlir 

torch-mlir-opt: /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/llvm/include/llvm/Support/Casting.h:566: decltype(auto) llvm::cast(const From &) [To = mlir::RankedTensorType, 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: /home/chi/src/ubuntu20/shark/torch-mlir/build/bin/torch-mlir-opt -torch-decompose-complex-ops -convert-torch-to-linalg test/Dialect/Torch/decompose-complex-ops-legal.mlir
 #0 0x000000000501843a llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/llvm/lib/Support/Unix/Signals.inc:569:11
 #1 0x000000000501860b PrintStackTraceSignalHandler(void*) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/llvm/lib/Support/Unix/Signals.inc:636:1
 #2 0x0000000005016b7b llvm::sys::RunSignalHandlers() /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/llvm/lib/Support/Signals.cpp:103:5
 #3 0x0000000005018d81 SignalHandler(int) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/llvm/lib/Support/Unix/Signals.inc:407:1
 #4 0x00007f116532f420 __restore_rt (/lib/x86_64-linux-gnu/libpthread.so.0+0x14420)
 #5 0x00007f1164cdf00b raise /build/glibc-SzIz7B/glibc-2.31/signal/../sysdeps/unix/sysv/linux/raise.c:51:1
 #6 0x00007f1164cbe859 abort /build/glibc-SzIz7B/glibc-2.31/stdlib/abort.c:81:7
 #7 0x00007f1164cbe729 get_sysdep_segment_value /build/glibc-SzIz7B/glibc-2.31/intl/loadmsgcat.c:509:8
 #8 0x00007f1164cbe729 _nl_load_domain /build/glibc-SzIz7B/glibc-2.31/intl/loadmsgcat.c:970:34
 #9 0x00007f1164ccffd6 (/lib/x86_64-linux-gnu/libc.so.6+0x33fd6)
#10 0x00000000007eaee5 decltype(auto) llvm::cast<mlir::RankedTensorType, mlir::Type>(mlir::Type const&) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/llvm/include/llvm/Support/Casting.h:567:43
#11 0x00000000007d6455 mlir::RankedTensorType mlir::Type::cast<mlir::RankedTensorType>() const /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/llvm/../mlir/include/mlir/IR/Types.h:280:10
#12 0x00000000033b029f (anonymous namespace)::ConvertAtenMaxDimOp::matchAndRewrite(mlir::torch::Torch::AtenMaxDimOp, mlir::torch::Torch::AtenMaxDimOpAdaptor, mlir::ConversionPatternRewriter&) const /home/chi/src/ubuntu20/shark/torch-mlir/lib/Conversion/TorchToLinalg/Reduction.cpp:57:14
#13 0x00000000033b5cc5 mlir::OpConversionPattern<mlir::torch::Torch::AtenMaxDimOp>::matchAndRewrite(mlir::Operation*, llvm::ArrayRef<mlir::Value>, mlir::ConversionPatternRewriter&) const /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/llvm/../mlir/include/mlir/Transforms/DialectConversion.h:424:12
#14 0x0000000004b298d3 mlir::ConversionPattern::matchAndRewrite(mlir::Operation*, mlir::PatternRewriter&) const /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Transforms/Utils/DialectConversion.cpp:1702:10
#15 0x0000000004b91b60 mlir::PatternApplicator::matchAndRewrite(mlir::Operation*, mlir::PatternRewriter&, llvm::function_ref<bool (mlir::Pattern const&)>, llvm::function_ref<void (mlir::Pattern const&)>, llvm::function_ref<mlir::LogicalResult (mlir::Pattern const&)>) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Rewrite/PatternApplicator.cpp:201:25
#16 0x0000000004b3411a (anonymous namespace)::OperationLegalizer::legalizeWithPattern(mlir::Operation*, mlir::ConversionPatternRewriter&) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Transforms/Utils/DialectConversion.cpp:1984:21
#17 0x0000000004b337b4 (anonymous namespace)::OperationLegalizer::legalize(mlir::Operation*, mlir::ConversionPatternRewriter&) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Transforms/Utils/DialectConversion.cpp:1892:17
#18 0x0000000004b32c82 (anonymous namespace)::OperationConverter::convert(mlir::ConversionPatternRewriter&, mlir::Operation*) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Transforms/Utils/DialectConversion.cpp:2405:26
#19 0x0000000004b2b892 (anonymous namespace)::OperationConverter::convertOperations(llvm::ArrayRef<mlir::Operation*>, llvm::function_ref<void (mlir::Diagnostic&)>) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Transforms/Utils/DialectConversion.cpp:2454:16
#20 0x0000000004b2b539 mlir::applyPartialConversion(llvm::ArrayRef<mlir::Operation*>, mlir::ConversionTarget&, mlir::FrozenRewritePatternSet const&, llvm::DenseSet<mlir::Operation*, llvm::DenseMapInfo<mlir::Operation*, void>>*) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Transforms/Utils/DialectConversion.cpp:3266:22
#21 0x0000000004b2bae2 mlir::applyPartialConversion(mlir::Operation*, mlir::ConversionTarget&, mlir::FrozenRewritePatternSet const&, llvm::DenseSet<mlir::Operation*, llvm::DenseMapInfo<mlir::Operation*, void>>*) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Transforms/Utils/DialectConversion.cpp:3272:10
#22 0x000000000333f25d (anonymous namespace)::ConvertTorchToLinalg::runOnOperation() /home/chi/src/ubuntu20/shark/torch-mlir/lib/Conversion/TorchToLinalg/TorchToLinalg.cpp:84:16
#23 0x0000000004bdb530 mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Pass/Pass.cpp:470:21
#24 0x0000000004bdbb3a mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Pass/Pass.cpp:533:16
#25 0x0000000004be1316 mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::$_12::operator()(mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo&) const /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Pass/Pass.cpp:753:36
#26 0x0000000004be0f5c mlir::LogicalResult mlir::failableParallelForEach<__gnu_cxx::__normal_iterator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>>, mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::$_12&>(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)::$_12&) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/include/mlir/IR/Threading.h:46:18
#27 0x0000000004bdce86 mlir::LogicalResult mlir::failableParallelForEach<std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>&, mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::$_12&>(mlir::MLIRContext*, std::vector<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo, std::allocator<mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::OpPMInfo>>&, mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool)::$_12&) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/include/mlir/IR/Threading.h:92:10
#28 0x0000000004bdc706 mlir::detail::OpToOpPassAdaptor::runOnOperationAsyncImpl(bool) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Pass/Pass.cpp:763:14
#29 0x0000000004bdb7ed mlir::detail::OpToOpPassAdaptor::runOnOperation(bool) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Pass/Pass.cpp:654:5
#30 0x0000000004bdb51e mlir::detail::OpToOpPassAdaptor::run(mlir::Pass*, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Pass/Pass.cpp:467:5
#31 0x0000000004bdbb3a mlir::detail::OpToOpPassAdaptor::runPipeline(mlir::OpPassManager&, mlir::Operation*, mlir::AnalysisManager, bool, unsigned int, mlir::PassInstrumentor*, mlir::PassInstrumentation::PipelineParentInfo const*) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Pass/Pass.cpp:533:16
#32 0x0000000004bdd4f3 mlir::PassManager::runPasses(mlir::Operation*, mlir::AnalysisManager) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Pass/Pass.cpp:836:10
#33 0x0000000004bdd401 mlir::PassManager::run(mlir::Operation*) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Pass/Pass.cpp:816:60
#34 0x000000000045e56a performActions(llvm::raw_ostream&, bool, bool, llvm::SourceMgr&, mlir::MLIRContext*, llvm::function_ref<mlir::LogicalResult (mlir::PassManager&)>, bool, bool) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:91:17
#35 0x000000000045e1c3 processBuffer(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, bool, bool, bool, bool, bool, bool, llvm::function_ref<mlir::LogicalResult (mlir::PassManager&)>, mlir::DialectRegistry&, llvm::ThreadPool*) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:139:12
#36 0x000000000045df66 mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<mlir::LogicalResult (mlir::PassManager&)>, mlir::DialectRegistry&, bool, bool, bool, bool, bool, bool, bool)::$_0::operator()(std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) const /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:181:12
#37 0x000000000045de45 mlir::LogicalResult llvm::function_ref<mlir::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>>, llvm::function_ref<mlir::LogicalResult (mlir::PassManager&)>, mlir::DialectRegistry&, bool, bool, bool, bool, bool, bool, bool)::$_0>(long, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/llvm/include/llvm/ADT/STLFunctionalExtras.h:45:12
#38 0x0000000004e90f81 llvm::function_ref<mlir::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>::operator()(std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&) const /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/llvm/include/llvm/ADT/STLFunctionalExtras.h:68:12
#39 0x0000000004e90501 mlir::splitAndProcessBuffer(std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<mlir::LogicalResult (std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::raw_ostream&)>, llvm::raw_ostream&, bool, bool) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Support/ToolUtilities.cpp:28:12
#40 0x000000000045cede mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, llvm::function_ref<mlir::LogicalResult (mlir::PassManager&)>, mlir::DialectRegistry&, bool, bool, bool, bool, bool, bool, bool) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:186:10
#41 0x000000000045d06a mlir::MlirOptMain(llvm::raw_ostream&, std::unique_ptr<llvm::MemoryBuffer, std::default_delete<llvm::MemoryBuffer>>, mlir::PassPipelineCLParser const&, mlir::DialectRegistry&, bool, bool, bool, bool, bool, bool, bool) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:205:10
#42 0x000000000045dc64 mlir::MlirOptMain(int, char**, llvm::StringRef, mlir::DialectRegistry&, bool) /home/chi/src/ubuntu20/shark/torch-mlir/externals/llvm-project/mlir/lib/Tools/mlir-opt/MlirOptMain.cpp:298:14
#43 0x0000000000418bbd main /home/chi/src/ubuntu20/shark/torch-mlir/tools/torch-mlir-opt/torch-mlir-opt.cpp:26:7
#44 0x00007f1164cc0083 __libc_start_main /build/glibc-SzIz7B/glibc-2.31/csu/../csu/libc-start.c:342:3
#45 0x0000000000418a7e _start (/home/chi/src/ubuntu20/shark/torch-mlir/build/bin/torch-mlir-opt+0x418a7e)
[9]    579801 abort (core dumped)  /home/chi/src/ubuntu20/shark/torch-mlir/build/bin/torch-mlir-opt

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment