question of data_train_opt
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valencebond commented
- in training stage one, although base category setting is nTestBase =32, batch_size=8 , actual batchsize is 32 *8 as like general training procedure. so why you split the one arg 'batch_size' to two arg 'nTestBase' and 'batch_size'.
- in training stage two, settings is data_train_opt['nTestNovel'] = nKnovel * 3
data_train_opt['nTestBase'] = nKnovel * 3, why we need * 3 and i can not find any info in original paper.
it is so kind if you can help me to understand the code. thanks a lot