Perplexity#

class composer.metrics.Perplexity(dist_sync_on_step=False)[source]#

Subclasses HFCrossEntropy to implement perplexity.

If an algorithm modifies the loss function and it is no longer directly provided in the output, then this could be expensive because itโ€™ll compute the loss twice.

compute()[source]#

Returns torch.exp() of the HFCrossEntropy.