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Appearing "nan" during training about atss HOT 7 CLOSED

sfzhang15 avatar sfzhang15 commented on July 29, 2024
Appearing "nan" during training

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Comments (7)

b03505036 avatar b03505036 commented on July 29, 2024

hope i could get some advices, thanks!

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sfzhang15 avatar sfzhang15 commented on July 29, 2024

@b03505036
Did you modify anything?

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b03505036 avatar b03505036 commented on July 29, 2024

nothing i have changed.
also could you provide anchor-free version (mentioned in the article)?
thanks for your reply

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sfzhang15 avatar sfzhang15 commented on July 29, 2024

@b03505036
It's weird. We have not encountered this problem, which is it always appears?
You can modify POSITIVE_TYPE and REGRESSION_TYPE to train anchor-free detectors, e.g., FCOS (POSITIVE_TYPE=SSC and REGRESSION_TYPE=POINT).

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wulongjian avatar wulongjian commented on July 29, 2024

Do you solve the problem? I have met the same problem, 0.0

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IgorSechko avatar IgorSechko commented on July 29, 2024

did you try reducing BASE_LR?

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HansolEom avatar HansolEom commented on July 29, 2024

I have figured out the root cause of this problem.
This problem occurs when too low a precision value enters the sigmoid.
I think you used cpu sigmoid_focal_loss. If so, solve this problem using max or clamp.
(in sigmoid_focal_loss_cuda, This problem doesn't happen.)

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