# tensorplay.nn.functional.cross_entropy

Source: https://www.tensorplay.cn/docs/generated/tensorplay.nn.functional.cross_entropy.html

# tensorplay.nn.functional.cross_entropy

tensorplay.nn.functional.cross_entropy(input, target, weight=None, size_average=None, ignore_index=-100, reduce=None, reduction='mean', label_smoothing=0.0)[[source]](../_modules/tensorplay/nn/functional.html#cross_entropy)

Compute the cross entropy loss between input logits and target.

Port of at::native::cross_entropy_loss_symint
(aten/src/ATen/native/LossNLL.cpp:633): equal input/target shapes select
the class-probability path, positive label_smoothing blends the NLL
with a smoothed uniform term, and otherwise this is
nll_loss(log_softmax(input), target) with N-d support.

See CrossEntropyLoss for details.