Comments (1)
18445864529
commented on June 20, 2024
This can be temporarily solved by either disabling gradient checkpointing (but the memory requirement increases dramatically) or using singe card training. But I got another error during the single card training process:
RuntimeError: Function 'SoftmaxBackward0' returned nan values in its 0th output.
which is caused by this line attn = attn.softmax(dim=-1) in the forward function of eva_vit.py
It always happens after a certain amount of iterations (after 450/17710 in the first epoch)
I simply used the provided code and script for coco finetuning and I don't understand why I got all these errors. Could someone please help? @LiJunnan1992
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