paddle.utils.run_check() 提示 段错误 (核心已转储) 救救孩子

[ToscanaGoGithub]

系统版本： Distributor ID: Ubuntu Description: Ubuntu 20.04.3 LTS Release: 20.04 Codename: focal

linux 什么版本： linux-image-5.11.0-27-generic

cuda版本： nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2020 NVIDIA Corporation Built on Mon_Oct_12_20:09:46_PDT_2020 Cuda compilation tools, release 11.1, V11.1.105 Build cuda_11.1.TC455_06.29190527_0

显卡驱动版本： nvidia-dkms-470 470.86-0ubuntu0.20.04.1 amd64 NVIDIA DKMS package nvidia-driver-470 470.86-0ubuntu0.20.04.1 amd64 NVIDIA driver metapackage

执行 paddle.utils.run_check() 时报错信息： Running verify PaddlePaddle program ... W1219 20:07:08.779233 31712 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.5, Driver API Version: 11.4, Runtime API Version: 11.2

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C++ Traceback (most recent call last):

No stack trace in paddle, may be caused by external reasons.

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Error Message Summary:

FatalError: Segmentation fault is detected by the operating system. [TimeInfo: Aborted at 1639915628 (unix time) try "date -d @1639915628" if you are using GNU date ] [SignalInfo: SIGSEGV (@0x0) received by PID 31712 (TID 0x7f2d1f1c4740) from PID 0 ]

段错误 (核心已转储)

[paddle-bot-old[bot]]

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[ToscanaGoGithub]

python版本： Python 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0] :: Anaconda, Inc. on linux

paddle 版本： paddlepaddle-gpu==2.2.1.post111

[XieYunshen]

cudnn版本是多少呢？

[RainFrost1]

在运行之前，先设置环境变量export FLAGS_call_stack_level=2，然后运行，看一下具体的报错代码

[ToscanaGoGithub]

zhangwei@2080s:~$ export FLAGS_call_stack_level=2 zhangwei@2080s:~$ python Python 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0] :: Anaconda, Inc. on linux Type "help", "copyright", "credits" or "license" for more information.

import paddle paddle.utils.run_check() Running verify PaddlePaddle program ... W1220 16:59:03.243978 390281 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.5, Driver API Version: 11.4, Runtime API Version: 11.2

---

C++ Traceback (most recent call last):

No stack trace in paddle, may be caused by external reasons.

---

Error Message Summary:

FatalError: Segmentation fault is detected by the operating system. [TimeInfo: Aborted at 1639990743 (unix time) try "date -d @1639990743" if you are using GNU date ] [SignalInfo: SIGSEGV (@0x0) received by PID 390281 (TID 0x7f8ee93c9740) from PID 0 ]

段错误 (核心已转储) zhangwei@2080s:~$

设置之后，执行时还是同样的问题

[ToscanaGoGithub]

import torch print(torch.backends.cudnn.version()) 8005

通过pytorch查询是8005，但是通过以下语句查询时，无打印结果 cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2

[RainFrost1]

换其他版本的paddle试试呢？

[ToscanaGoGithub]

几个版本都尝试过，都是报同样的错误

[RainFrost1]

使用cpu版本也会报错吗？

[ToscanaGoGithub]

使用cpu版本也会报错吗？

import paddle paddle.utils.run_check() Running verify PaddlePaddle program ... PaddlePaddle works well on 1 CPU. W1221 10:40:38.772401 430183 fuse_all_reduce_op_pass.cc:76] Find all_reduce operators: 2. To make the speed faster, some all_reduce ops are fused during training, after fusion, the number of all_reduce ops is 2. PaddlePaddle works well on 2 CPUs. PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now.

试了一下 CPU的没问题

[RainFrost1]

感觉应该是cuda、cudnn等环境配置问题，这样就不太好定位了。可以使用一下paddle官网的docker环境

[ToscanaGoGithub]

感觉应该是cuda、cudnn等环境配置问题，这样就不太好定位了。可以使用一下paddle官网的docker环境

好的 感谢回复

[YFAN1020]

感觉应该是cuda、cudnn等环境配置问题，这样就不太好定位了。可以使用一下paddle官网的docker环境

好的 感谢回复

请问解决了吗