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Sparse cross entropy allows the computation of cross entropy loss without one-hot encoding of the target class. This is useful for language modeling as the target classes are the entire vocabulary which is a very large space to one-hot encode, and wouldn't be memory efficient.
It is possible to make a custom implementation of sparse cross entropy computation with dlarray
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enhancementNew feature or requestNew feature or request