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Baijiong-Lin avatar Baijiong-Lin commented on July 25, 2024 1

Sure.

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Baijiong-Lin avatar Baijiong-Lin commented on July 25, 2024

The decoders are updated in the training process.

losses[tn].backward(retain_graph=True) if (tn+1)!=self.task_num else losses[tn].backward()

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hasanfarooq7 avatar hasanfarooq7 commented on July 25, 2024

Thanks for pointing out. Yes i understand its there but can you check and confirm that decoder weights are actually being updated during training iterations for your datasets?

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hasanfarooq7 avatar hasanfarooq7 commented on July 25, 2024

Thanks a lot for confirmation. It will be issue in my implementation. I am closing the issue.

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