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Trying to cache tasks from magenta/MT3 repository, only with 200 examples it takes around 30GB of memory while caching at the very end of processing.
Without caching it trains just fine even with 1000 train examples train dataset.
The text was updated successfully, but these errors were encountered:
Trying to cache tasks from magenta/MT3 repository, only with 200 examples it takes around 30GB of memory while caching at the very end of processing.
Without caching it trains just fine even with 1000 train examples train dataset.
The text was updated successfully, but these errors were encountered: