I have a training dataset that is too big to fit into memory, so my code reads only 1,000 records from disk at a time. Now I would like to use Tensorflow's new Dataset API. Does the Dataset API allow me to specify the number of records to keep in memory or does Tensorflow automatically manage memory so that I don't have to?
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