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Answered
Hello! Since Today I Get

Hello!
Since today I get AssertionError: Torch not compiled with CUDA enabled for PyTorch 1.8.
Tasks that I submitted yesterday to the queue are also not working, even though they ran yesterday. PyTorch 1.7 based tasks work fine. Any idea what I could have done wrong?

  
  
Posted 3 years ago
Votes Newest

Answers 161


btw: why is agent.package_manager and agent attribute. Imo it does not make sense because conda can install pip packages, but pip cannot install conda packages which can lead to install failures, right?

  
  
Posted 3 years ago

Or there should be an early error for trying to run conda based tasks on pip agents

  
  
Posted 3 years ago

@<1523701868901961728:profile|ReassuredTiger98> what are you getting with:

nvidia-smi

And here:

ls -la /usr/local/
  
  
Posted 3 years ago

Thu Mar 11 17:52:45 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.56       Driver Version: 460.56       CUDA Version: 11.2     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  GeForce RTX 3090    Off  | 00000000:01:00.0 Off |                  N/A |
| 61%   63C    P2   296W / 350W |   8318MiB / 24268MiB |     74%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
|   1  GeForce RTX 3090    Off  | 00000000:21:00.0 Off |                  N/A |
| 30%   29C    P8    20W / 350W |      1MiB / 24268MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|    0   N/A  N/A    133165    C+G   ...s-builds.1/3.7/bin/python     8314MiB |
+-----------------------------------------------------------------------------+
  
  
Posted 3 years ago

drwxr-xr-x 10 root root 4096 Jul 31  2020 .
drwxr-xr-x 14 root root 4096 Jul 31  2020 ..
drwxr-xr-x  2 root root 4096 Feb  4 13:52 bin
drwxr-xr-x  2 root root 4096 Jul 31  2020 etc
drwxr-xr-x  2 root root 4096 Jul 31  2020 games
drwxr-xr-x  2 root root 4096 Jul 31  2020 include
drwxr-xr-x  4 root root 4096 Feb  3 13:40 lib
lrwxrwxrwx  1 root root    9 Dez 10 14:29 man -> share/man
drwxr-xr-x  2 root root 4096 Jul 31  2020 sbin
drwxr-xr-x  7 root root 4096 Jul 31  2020 share
drwxr-xr-x  2 root root 4096 Jul 31  2020 src
  
  
Posted 3 years ago

I do not have a global cuda install on this machine. Everything except for the driver is installed via conda.

  
  
Posted 3 years ago

So it should have detected 11.2...

  
  
Posted 3 years ago

Let me check something

  
  
Posted 3 years ago

Type "help", "copyright", "credits" or "license" for more information.
>>> from clearml_agent.helper.gpu.gpustat import get_driver_cuda_version
>>> get_driver_cuda_version()
'110'
  
  
Posted 3 years ago

Okay found it 🙂 it returns 11020 instead of 112

  
  
Posted 3 years ago

Perfect! 🙂

  
  
Posted 3 years ago
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