Comments (5)
@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"]
beforeimport torch
or any other import that may bring intorch
. 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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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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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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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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what about CPUEngine?
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