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emeryberger avatar emeryberger commented on June 8, 2024

Hardware platform? What happens when you run nvidia-smi? (Scalene's GPU support is currently limited to NVIDIA.)

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aibtw avatar aibtw commented on June 8, 2024

Hardware platform? What happens when you run nvidia-smi? (Scalene's GPU support is currently limited to NVIDIA.)

sorry, forgot the details:

  • Intel i7-13700 with RTX 3080.
  • Also tried on Jetson Orin 16GB and got same issue, but let's not focus on this.
  • I will add that I tried different versions (latest from github, 1.5.19, I don't remember the rest, but I tried multiple ones in this range)
  • Python version 3.8

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emeryberger avatar emeryberger commented on June 8, 2024

The usual issue here is an old driver, but let's be sure. Please run nvidia-smi and paste the output here.

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aibtw avatar aibtw commented on June 8, 2024

I see

here is the output of nvidia-smi while the scalene is running
image

Is it a CUDA version issue?

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emeryberger avatar emeryberger commented on June 8, 2024

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.

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emeryberger avatar emeryberger commented on June 8, 2024

@aibtw any updates?

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aibtw avatar aibtw commented on June 8, 2024

Sorry, been testing it with different conditions.
So, after I updated the driver to 530,
image

I setup a new venv to test it.

If I run it on a non-threaded application, it seems to work
image
(but GPU memory result doesn't seem right to me)

However, my application is threaded. If I run it, it is still the same.
image

So, does it work for threaded applications?

I really like the tool. Appreciate your effort in trying to solve this.

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