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During inference, we calculate category codes by averaging all given objects, which takes some time. (but definitely not a lot of time. I remember it should not exceed 5 minutes.)
But during training, category codes are computed based on the single support object, which shouldn't take a lot of time.
Need to consume a lot of time?Why can't the training call the GPU and the training time is very slow?
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