FatalError: Illegal instruction is detected by the operating system.

[MismatchQuest]

Hi guys,

Great work! I find it super cool and interesting! Thanks for sharing it!

I follow all the instructions for installation, but when I am running the code I have the following logs:

Warning: The default cache directory for DeepSpeed Triton autotune, /a/home/cc/students/csguests/briangordon/.triton/autotune, appears to be on an NFS system. While this is generally acceptable, if you experience slowdowns or hanging when DeepSpeed exits, it is recommended to set the TRITON_CACHE_DIR environment variable to a non-NFS path.
 [WARNING]  async_io requires the dev libaio .so object and headers but these were not found.
 [WARNING]  async_io: please install the libaio-dev package with apt
 [WARNING]  If libaio is already installed (perhaps from source), try setting the CFLAGS and LDFLAGS environment variables to where it can be found.
 [WARNING]  Please specify the CUTLASS repo directory as environment variable $CUTLASS_PATH
 [WARNING]  sparse_attn requires a torch version >= 1.5 and < 2.0 but detected 2.0
 [WARNING]  using untested triton version (2.0.0), only 1.0.0 is known to be compatible
CHANGED init_detector() !
Loads checkpoint by local backend from path: /home/dcor/briangordon/Yonatan_Project/MoAI/moai/sgg/checkpoints/psgtr_r50_epoch_60.pth
download https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_det_infer.tar to /a/home/cc/students/csguests/briangordon/.paddleocr/whl/det/ch/ch_PP-OCRv4_det_infer/ch_PP-OCRv4_det_infer.tar
download https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_rec_infer.tar to /a/home/cc/students/csguests/briangordon/.paddleocr/whl/rec/ch/ch_PP-OCRv4_rec_infer/ch_PP-OCRv4_rec_infer.tar
download https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar to /a/home/cc/students/csguests/briangordon/.paddleocr/whl/cls/ch_ppocr_mobile_v2.0_cls_infer/ch_ppocr_mobile_v2.0_cls_infer.tar


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C++ Traceback (most recent call last):
--------------------------------------
0   paddle_infer::Predictor::Predictor(paddle::AnalysisConfig const&)
1   std::unique_ptr<paddle::PaddlePredictor, std::default_delete<paddle::PaddlePredictor> > paddle::CreatePaddlePredictor<paddle::AnalysisConfig, (paddle::PaddleEngineKind)2>(paddle::AnalysisConfig const&)
2   paddle::AnalysisPredictor::Init(std::shared_ptr<paddle::framework::Scope> const&, std::shared_ptr<paddle::framework::ProgramDesc> const&)
3   paddle::AnalysisPredictor::PrepareProgram(std::shared_ptr<paddle::framework::ProgramDesc> const&)
4   paddle::AnalysisPredictor::OptimizeInferenceProgram()
5   paddle::inference::analysis::Analyzer::RunAnalysis(paddle::inference::analysis::Argument*)
6   paddle::inference::analysis::IrAnalysisPass::RunImpl(paddle::inference::analysis::Argument*)
7   paddle::inference::analysis::IRPassManager::Apply(std::unique_ptr<paddle::framework::ir::Graph, std::default_delete<paddle::framework::ir::Graph> >)
8   paddle::framework::ir::Pass::Apply(paddle::framework::ir::Graph*) const
9   paddle::framework::ir::SelfAttentionFusePass::ApplyImpl(paddle::framework::ir::Graph*) const
10  paddle::framework::ir::GraphPatternDetector::operator()(paddle::framework::ir::Graph*, std::function<void (std::map<paddle::framework::ir::PDNode*, paddle::framework::ir::Node*, paddle::framework::ir::GraphPatternDetector::PDNodeCompare, std::allocator<std::pair<paddle::framework::ir::PDNode* const, paddle::framework::ir::Node*> > > const&, paddle::framework::ir::Graph*)>)

----------------------
Error Message Summary:
----------------------
FatalError: `Illegal instruction` is detected by the operating system.
  [TimeInfo: *** Aborted at 1713962739 (unix time) try "date -d @1713962739" if you are using GNU date ***]
  [SignalInfo: *** SIGILL (@0x7f2dead5b07a) received by PID 1631081 (TID 0x7f35fb157180) from PID 18446744073354457210 ***]

Can you please help me with this issue?

[ByungKwanLee]

It seems like paddleocr version error. After moai codes are launched, the paddleocr package may be updated. My server used paddleocr==2.7.0.2. Then, you can try this version.