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ShuhuaGao avatar ShuhuaGao commented on June 1, 2024 1

@Scitator . Thanks. I figured it out.

Moving to the first separate cell in Jupyter does not help

It was because I did not restart the kernel (see StackOverflow).

So the keys are

  • Set os.environ["CUDA_VISIBLE_DEVICES"] before import torch or any other import that may bring in torch. A safe way is to put it in the first cell.
  • If os.environ["CUDA_VISIBLE_DEVICES"] is reset, e.g., switching from CPU to GPU, we need to restart the Jupyter kernel.

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github-actions avatar github-actions commented on June 1, 2024

Hi! Thank you for your contribution! Please re-check all issue template checklists - unfilled issues would be closed automatically. And do not forget to join our slack for collaboration.

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Scitator avatar Scitator commented on June 1, 2024

If you are running this example into the simple notebook cell - please try to move

import os
os.environ["CUDA_VISIBLE_DEVICES"] = ""

into separate one.

Otherwise, please try CPUEngine during train/inference.

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ShuhuaGao avatar ShuhuaGao commented on June 1, 2024

Moving to the first separate cell in Jupyter does not help. The result is still:

print('Is model on GPU? ', next(model.parameters()).is_cuda)
print(runner.engine)
Is model on GPU?  True
<catalyst.engines.torch.GPUEngine object at 0x000001EF659B1D60>

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Scitator avatar Scitator commented on June 1, 2024

what about CPUEngine?

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