昇腾300I DUO卡不支持

[tomjimi2019]

[root@localhost dist]# python3 -c "import paddle; paddle.utils.run_check()"
I0722 12:18:07.275084 1318483 init.cc:236] ENV [CUSTOM_DEVICE_ROOT]=/usr/local/python310/lib/python3.10/site-packages/paddle_custom_device
I0722 12:18:07.275131 1318483 init.cc:145] Try loading custom device libs from: [/usr/local/python310/lib/python3.10/site-packages/paddle_custom_device]
I0722 12:18:07.746173 1318483 custom_device.cc:1099] Succeed in loading custom runtime in lib: /usr/local/python310/lib/python3.10/site-packages/paddle_custom_device/libpaddle-custom-npu.so
I0722 12:18:07.749110 1318483 custom_kernel.cc:63] Succeed in loading 355 custom kernel(s) from loaded lib(s), will be used like native ones.
I0722 12:18:07.749258 1318483 init.cc:157] Finished in LoadCustomDevice with libs_path: [/usr/local/python310/lib/python3.10/site-packages/paddle_custom_device]
I0722 12:18:07.749292 1318483 init.cc:242] CustomDevice: npu, visible devices count: 4
Running verify PaddlePaddle program ...
I0722 12:18:08.663375 1318483 program_interpreter.cc:243] New Executor is Running.

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C++ Traceback (most recent call last):

0 paddle::framework::StandaloneExecutor::Run(std::vector<std::string, std::allocator<std::string > > const&, bool)
1 paddle::framework::InterpreterCore::Run(std::vector<std::string, std::allocator<std::string > > const&, bool, bool, bool, bool)
2 paddle::framework::ProgramInterpreter::Run(std::vector<std::string, std::allocator<std::string > > const&, bool, bool, bool, bool)
3 paddle::framework::ProgramInterpreter::Build(std::vector<std::string, std::allocator<std::string > > const&, std::vector<paddle::framework::OpFuncNode, std::allocatorpaddle::framework::OpFuncNode >, bool)
4 paddle::framework::interpreter::BuildOpFuncList(phi::Place const&, paddle::framework::BlockDesc const&, std::set<std::string, std::less<std::string >, std::allocator<std::string > > const&, std::vector<paddle::framework::OpFuncNode, std::allocatorpaddle::framework::OpFuncNode >, paddle::framework::VariableScope*, paddle::framework::interpreter::ExecutionConfig const&, std::vector<std::function<void (paddle::framework::OperatorBase*, paddle::framework::Scope*)>, std::allocator<std::function<void (paddle::framework::OperatorBase*, paddle::framework::Scope*)> > > const&, std::vector<std::function<void (paddle::framework::OperatorBase*, paddle::framework::Scope*)>, std::allocator<std::function<void (paddle::framework::OperatorBase*, paddle::framework::Scope*)> > > const&, bool, bool)
5 void custom_kernel::MatmulKernel<float, phi::CustomContext>(phi::CustomContext const&, phi::DenseTensor const&, phi::DenseTensor const&, bool, bool, phi::DenseTensor*)
6 aclnnMatmul
7 InitL2Phase2Context(char*, aclOpExecutor*)
8 GetOpExecCacheFromExecutor(aclOpExecutor*)

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Error Message Summary:

FatalError: Segmentation fault is detected by the operating system.
[TimeInfo: *** Aborted at 1721621889 (unix time) try "date -d @1721621889" if you are using GNU date ***]
[SignalInfo: *** SIGSEGV (@0x141e53) received by PID 1318483 (TID 0xfffef55e5980) from PID 1318483 ***]

段错误 (核心已转储)

[cleansely]

同问，是否能基于300i duo进行推理，安装对应cann和kernels是否就行

[tomjimi2019]

试了将paddlepaddle和paddlecustomdevice降级到2.6.0可以不报错，但paddlex 3.0.0-beta只支持paddle3.0版本