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This repository has been archived by the owner on Nov 17, 2023. It is now read-only.
Currently part of the logic for calculating cross-entropy loss is in mx.metric.Perplexity. This means we would have repeated calculation when we are already using cross entropy loss, which is very commonly used (e.g SoftmaxCrossEntropyLoss). In that case, only exponentiating is needed.
Currently part of the logic for calculating cross-entropy loss is in mx.metric.Perplexity. This means we would have repeated calculation when we are already using cross entropy loss, which is very commonly used (e.g SoftmaxCrossEntropyLoss). In that case, only exponentiating is needed.
https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/metric.py#L648-L658
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