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xman1991
LiuChiachi
问题描述 Issue Description
软件环境: kylinv10 、cuda11.2、cudnn8.1; 硬件环境: cpu:phytium GPU:nvidia GTX1060; 安装步骤： 1、git clone https://github.com/PaddlePaddle/Paddle.git 2、cd paddlepaddle 3、cd python && pip install -r requirement.txt 4、mkdir build && cd build 5、ulimit -n 4096 6、cmake .. -DPY_VERSION=3.7 -DPYTHON_EXECUTABLE=
which python3-DWITH_ARM=ON - DWITH_TESTING=OFF -DCMAKE_BUILD_TYPE=Release -DON_INFER=ON -DWITH_XBYAK=OFF -DWITH_CUDNN_DSO=ON 7、出现：/home/kylin/2230/Paddle/build/paddle/fluid/eager/auto_code_generator/eager_generator: error while loading shared libraries: libcudart.so.11.0: cannot open shared object file: No such file or directory，问题； 解决方案： sudo cp /usr/local/cuda-10.0/lib64/libcudnn.so.7 /usr/local/lib/libcudnn.so.7 && sudo ldconfig [https://blog.csdn.net/martinkeith/article/details/102997059] 8、cd python/dist 9、pip install paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_aarch64.whl 测试方案: 进入python: import paddle paddle.utils.run_check()报错: Running verify PaddlePaddle program ... I0215 15:09:51.850409 3916 interpretercore.cc:279] New Executor is Running. W0215 15:09:51.850878 3916 gpu_resources.cc:85] Please NOTE: device: 0, GPU Compute Capability: 6.1, Driver API Version: 11.2, Runtime API Version: 11.2
C++ Traceback (most recent call last):
0 paddle::framework::StandaloneExecutor::Run(paddle::framework::Scope, std::vector<std::string, std::allocator > const&, std::vector<std::string, std::allocator > const&)
1 paddle::framework::InterpreterCore::Run(std::vector<std::string, std::allocator > const&, bool)
2 paddle::framework::interpreter::BuildOpFuncList(phi::Place const&, paddle::framework::BlockDesc const&, std::set<std::string, std::less, std::allocator > const&, std::vector<paddle::framework::OpFuncNode, std::allocator > , paddle::framework::VariableScope, paddle::framework::interpreter::ExecutionConfig const&, bool)
3 paddle::platform::DeviceContextPool::Get(phi::Place const&)
4 std::__future_base::_Deferred_state<std::thread::_Invoker<std::tuple<std::unique_ptr<phi::DeviceContext, std::default_delete > ( )(phi::Place const&, bool, int), phi::Place, bool, int> >, std::unique_ptr<phi::DeviceContext, std::default_delete > >::_M_complete_async()
5 std::future_base::_State_baseV2::_M_do_set(std::function<std::unique_ptr<std::__future_base::_Result_base, std::future_base::_Result_base::_Deleter> ()>, bool)
6 std::_Function_handler<std::unique_ptr<std::__future_base::_Result_base, std::future_base::_Result_base::_Deleter> (), std::future_base::_Task_setter<std::unique_ptr<std::future_base::_Result<std::unique_ptr<phi::DeviceContext, std::default_delete > >, std:: future_base::_Result_base::_Deleter>, std::thread::_Invoker<std::tuple<std::unique_ptr<phi::DeviceContext, std::default_delete > ()(phi::Place const&, bool, int), phi::Place, bool, int> >, std::unique_ptr<phi::DeviceContext, std::default_delete > > >::_M_invoke(std::_Any_data const&)
7 std::unique_ptr<phi::DeviceContext, std::default_delete > paddle::platform::CreateDeviceContext(phi::Place const&, bool, int)
8 std::enable_if<std::is_same<phi::GPUContext, phi::GPUContext>::value, phi::GPUContext >::type paddle::platform::ConstructDevCtx(phi::Place const&, int)
9 phi::GPUContext::GPUContext(phi::GPUPlace const&, bool, int)
10 phi::InitGpuProperties(phi::Place, int, int, int, int, int, int, std::array<int, 3ul>*)
11 cudnnGetVersion
Error Message Summary:
FatalError:
Access to an undefined portion of a memory objectis detected by the operating system. [TimeInfo: Aborted at 1676444991 (unix time) try "date -d @1676444991" if you are using GNU date ] [SignalInfo: SIGBUS (@0x7f57890858) received by PID 3916 (TID 0x7fb7515750) from PID 1468598360 ]总线错误
版本&环境信息 Version & Environment Information
Paddle version: 0.0.0 Paddle With CUDA: True
OS: kylin v10 GCC version: (Ubuntu 9.3.0-10kylin2) 9.3.0 Clang version: 10.0.0-4kylin1 CMake version: version 3.26.0-rc2 Libc version: glibc 2.17 Python version: 3.7.12
CUDA version: 11.0.194 Build cuda_11.0_bu.TC445_37.28540450_0 cuDNN version: N/A Nvidia driver version: 460.84 Nvidia driver List: GPU 0: GeForce GTX 1060 6GB