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Answered
Hey Guys! I'M Having Some Issues With Pytorch And Clearml. I Am Starting A New Task Using Task.Create And Setting Pytorch As A Requirement Under `Packages`. For Some Reason Pytorch With Cuda 12 Is Being Installed, But I Need Cuda 11. Do You Know How To Se

Hey guys! I'm having some issues with pytorch and clearml. I am starting a new task using task.create and setting pytorch as a requirement under packages. For some reason pytorch with CUDA 12 is being installed, but I need CUDA 11. Do you know how to set it to install CUDA 11?

  
  
Posted 3 months ago
Votes Newest

Answers 41


Collecting pip<20.2
Using cached pip-20.1.1-py2.py3-none-any.whl (1.5 MB)
Installing collected packages: pip
Attempting uninstall: pip
Found existing installation: pip 20.0.2
Not uninstalling pip at /usr/lib/python3/dist-packages, outside environment /usr
Can't uninstall 'pip'. No files were found to uninstall.

  
  
Posted 3 months ago

I am running the agent with clearml-agent daemon --queue training

  
  
Posted 3 months ago

I am trying task.create like so:

task = Task.create(
    script="test_gpu.py",
    packages=["torch"],
)
  
  
Posted 3 months ago

@<1523701070390366208:profile|CostlyOstrich36> do you have any ideas?

  
  
Posted 3 months ago

This one seems to be compatible: [nvcr.io/nvidia/pytorch:22.04-py3](http://nvcr.io/nvidia/pytorch:22.04-py3)

  
  
Posted 3 months ago

Thank you I will try that

  
  
Posted 3 months ago

@<1523701070390366208:profile|CostlyOstrich36> same error now 😞

Environment setup completed successfully
Starting Task Execution:
/root/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/torch/cuda/__init__.py:128: UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 11020). Please update your GPU driver by downloading and installing a new version from the URL: 
 Alternatively, go to: 
 to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at ../c10/cuda/CUDAFunctions.cpp:108.)
  return torch._C._cuda_getDeviceCount() > 0
False
Traceback (most recent call last):
  File "facility_classifier/test_gpu.py", line 8, in <module>
    assert torch.cuda.is_available()
AssertionError
  
  
Posted 3 months ago

pip install --pre torchvision --force-reinstall --index-url None

  
  
Posted 3 months ago

This has been resolved now! Thank you for your help @<1523701070390366208:profile|CostlyOstrich36>

  
  
Posted 3 months ago

Thank you

  
  
Posted 3 months ago

Just to make sure, run the code on the machine itself to verify that python can actually detect the driver

  
  
Posted 3 months ago
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41 Answers
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