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RuntimeError: cuda runtime error (100) : no CUDA-capable device is detected
See original GitHub issueHey,
great work with the library!
I am trying to install it, but I am getting a cuda error. I have been using pytorch the gpus wihout problems until now.
The full line reads: RuntimeError: cuda runtime error (100) : no CUDA-capable device is detected at /opt/conda/conda-bld/pytorch_1570910687650/work/aten/src/THC/THCGeneral.cpp:50
I am using python 3.7.3 and pytorch 1.3.
the output of nvidia_smi is:
Fri Nov 15 16:13:25 2019
±----------------------------------------------------------------------------+
| NVIDIA-SMI 418.56 Driver Version: 418.56 CUDA Version: 10.1 |
|-------------------------------±---------------------±---------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|==================+======================+======================|
| 0 GeForce GTX TIT… On | 00000000:04:00.0 Off | N/A |
| 22% 41C P8 18W / 250W | 11MiB / 12212MiB | 0% Default |
±------------------------------±---------------------±---------------------+
| 1 GeForce GTX TIT… On | 00000000:06:00.0 Off | N/A |
| 22% 38C P8 17W / 250W | 11MiB / 12212MiB | 0% Default |
±------------------------------±---------------------±---------------------+
| 2 GeForce GTX 108… On | 00000000:07:00.0 Off | N/A |
| 31% 34C P8 8W / 250W | 1283MiB / 11178MiB | 0% Default |
±------------------------------±---------------------±---------------------+
| 3 GeForce GTX 108… On | 00000000:08:00.0 Off | N/A |
| 31% 33C P8 8W / 250W | 10MiB / 11178MiB | 0% Default |
±------------------------------±---------------------±---------------------+
| 4 TITAN X (Pascal) On | 00000000:0C:00.0 Off | N/A |
| 23% 35C P8 8W / 250W | 10MiB / 12196MiB | 0% Default |
±------------------------------±---------------------±---------------------+
| 5 TITAN X (Pascal) On | 00000000:0E:00.0 Off | N/A |
| 23% 30C P8 8W / 250W | 10MiB / 12196MiB | 0% Default |
±------------------------------±---------------------±---------------------+
±----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |============================================================| | 2 14534 C …zzi/anaconda3/envs/tmtm/bin/python3.7 1273MiB | ±----------------------------------------------------------------------------+
Any suggestions?
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- State:
- Created 4 years ago
- Comments:10
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Where should I add CUDA_VISIBLE_DEVICES=2 ???in the terminal or in some python file???
@VictorZuanazzi Hi I have encountered the same problem. Can you elaborate on your solution?thanks