[英]RuntimeError: cuda runtime error (35) : CUDA driver version is insufficient for CUDA runtime version at torch/csrc/cuda/Module.cpp:51
[英]PyDev tells “error == cudaSuccess (35 vs. 0)CUDA driver version is insufficient for CUDA runtime version”,but command line works fine
我的配置是这样的:
Ubuntu 16.04
Java 1.8
Python 2.7.12
Caffe 1.0
Cuda 8.0
Nvidia driver 375-66
PyDev 5.7.0.201704111357
And I tried to run this in bash:
https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation/tree/master/testing/python
通过
python -m Demo
它工作正常,但是当尝试从eclipse-pydev运行时,遇到了以下错误:
WARNING: Logging before InitGoogleLogging() is written to STDERR
E0606 09:34:43.905447 15924 common.cpp:114] Cannot create Cublas handle. Cublas won't be available.
0
E0606 09:34:43.905640 15924 common.cpp:121] Cannot create Curand generator. Curand won't be available.
F0606 09:34:43.905845 15924 common.cpp:152] Check failed: error == cudaSuccess (35 vs. 0) CUDA driver version is insufficient for CUDA runtime version
*** Check failure stack trace: ***
我认为这个问题来自于我使用nvidia驱动程序启动OS,然后切换到intel,如下所示:
这是我想要的,因为希望使用嵌入式inte VC来处理与操作系统相关的工作,而将Nvidia VC留给caffe(深度学习框架)工作。问题是:
为什么对于相同的python包裹的caffe作业,命令行可以正常工作,但是PyDev会给出这些错误?
通常,这意味着您的命令行中包含一些未在PyDev中复制的环境变量。
通常的解决方法是从命令行启动Eclipse,以便它继承在那里设置的变量。
感谢@Fabio Zadrozny的提示
窗口->首选项-> PyDev->解释器-> Python解释器->单击环境->新建
create a env variable:
Name:LD_LIBRARY_PATH Value:as in you system env
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