Recently, the GPU driver on the server is updated to 390.12 by the IT support, then I also update the CUDA9 and cudnn library corresponding. However, since then I started to get segmentation error once I call .cuda() function. I attach the following stack traces. The example I use is the official mnist example:
gdb python
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Reading symbols from /home/zhe/anaconda3/envs/pytorch_cuda9/bin/python3.6...done.
(gdb) r mnist.py
Starting program: /home/zhe/anaconda3/envs/pytorch_cuda9/bin/python mnist.py
[Thread debugging using libthread_db enabled]
Using host libthread_db library "/lib64/libthread_db.so.1".
Missing separate debuginfo for /home/zhe/anaconda3/envs/pytorch_cuda9/lib/python3.6/site-packages/numpy/../../../libiomp5.so
Detaching after fork from child process 34372.
Detaching after fork from child process 34373.
Detaching after fork from child process 34374.
[New Thread 0x7fffac683700 (LWP 34377)]
[New Thread 0x7fffa8a2a700 (LWP 34379)]
Program received signal SIGSEGV, Segmentation fault.
[Switching to Thread 0x7fffa8a2a700 (LWP 34379)]
0x00007fffeac828d5 in ?? () from /usr/lib64/nvidia/libcuda.so.1
Missing separate debuginfos, use: debuginfo-install glibc-2.17-196.el7_4.2.x86_64 libuuid-2.23.2-43.el7_4.2.x86_64
(gdb) bt
#0 0x00007fffeac828d5 in ?? () from /usr/lib64/nvidia/libcuda.so.1
#1 0x00007fffeadd2914 in ?? () from /usr/lib64/nvidia/libcuda.so.1
#2 0x00007fffead6ee80 in ?? () from /usr/lib64/nvidia/libcuda.so.1
#3 0x00007ffff7bc6e25 in start_thread () from /lib64/libpthread.so.0
#4 0x00007ffff78f434d in clone () from /lib64/libc.so.6
(gdb)