Comments (5)
ageron
commented on May 2, 2024
2
Hi,
This is not a very explicit stack trace, unfortunately. This StackOverflow question seems related. The answers seem to point to Out-of-Memory problems. For example, they suggest that perhaps there's an open Interactive session, or any other process (e.g. another TensorFlow program) already open that took most of the GPU memory. If so, the solution is to close the other program/session. Can you try that?
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ageron
commented on May 2, 2024
Hi @melzoghbi ,
Have you managed to fix this issue based on the suggestions in my previous comment? Should I close it?
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melzoghbi
commented on May 2, 2024
yes.
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ageron
commented on May 2, 2024
Great! Hope you are enjoying the book.
Cheers,
Aurélien
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abadcd
commented on May 2, 2024
@ageron Hi，Is there a way to solve this problem completely? When a process is executed, it occupies the gpu. Other programs can no longer be executed. If you want to execute another program, you have to restart the notebook. This is a headache
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