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CyberZHG avatar CyberZHG commented on August 21, 2024

The size of your dictionary / The input dimension of the embedding

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kbulutozler avatar kbulutozler commented on August 21, 2024

I am getting memory errors (used several GPUs with at least 12 gb ram) even for a small size (7k) of dictionary. Considering the real dictionary must consist 100k tokens, there is something wrong. I opened an issue at Keras repo, I will be really happy if you can take a look since it is based on your code.
link: keras-team/keras#12755

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CyberZHG avatar CyberZHG commented on August 21, 2024

I think you misunderstood steps_per_epoch. If you are using a generator, then the batch size is controlled only by the generator itself. Setting steps_per_epoch means there are batch_size x steps_per_epochsamples in one epoch.

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kbulutozler avatar kbulutozler commented on August 21, 2024

But don't we set number of sequences/samples? Doesn't this allow us control batch size by changing steps_per_epoch ?

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CyberZHG avatar CyberZHG commented on August 21, 2024

There is no way to modify your generator "intelligently" since you may need operators like padding.

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kbulutozler avatar kbulutozler commented on August 21, 2024

Okay. What do you suggest about deciding the value of steps_per_epoch ?

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stale avatar stale commented on August 21, 2024

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

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