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We currently simulate and/or sample from the vcfs, then train. This is inefficient when doing CPU simulations and GPU training. We should put simulation results into a shared queue and when it's big enough, drain the queue and pass the contents to the discriminator for training.
The text was updated successfully, but these errors were encountered:
We currently simulate and/or sample from the vcfs, then train. This is inefficient when doing CPU simulations and GPU training. We should put simulation results into a shared queue and when it's big enough, drain the queue and pass the contents to the discriminator for training.
The text was updated successfully, but these errors were encountered: