Open aibtw opened 7 months ago
Hardware platform? What happens when you run nvidia-smi
? (Scalene's GPU support is currently limited to NVIDIA.)
Hardware platform? What happens when you run
nvidia-smi
? (Scalene's GPU support is currently limited to NVIDIA.)
sorry, forgot the details:
The usual issue here is an old driver, but let's be sure. Please run nvidia-smi
and paste the output here.
I see
here is the output of nvidia-smi while the scalene is running
Is it a CUDA version issue?
The driver version is a little bit on the old side (released in 2022); if you can update it to the latest version, please do and let's see what happens. In my experience, this usually resolves the problem.
@aibtw any updates?
Sorry, been testing it with different conditions. So, after I updated the driver to 530,
I setup a new venv to test it.
If I run it on a non-threaded application, it seems to work (but GPU memory result doesn't seem right to me)
However, my application is threaded. If I run it, it is still the same.
So, does it work for threaded applications?
I really like the tool. Appreciate your effort in trying to solve this.
Is there a command to check hardware compatibility? I would like to profile a Jetson GPU.
Describe the bug I am trying to get GPU profiling, but in the cli and the html there is no column for that.
To Reproduce I used this command:
scalene --cpu --gpu ./my_script.py
Expected behavior I see images on this repo of what the profiling result should be like. Mine is nothing like that. see below
Screenshots
Desktop: