# tensorplay.nn.functional.cross_entropy

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

```python
tensorplay.nn.functional.cross_entropy(input, target, weight=None, size_average=None, ignore_index=-100, reduce=None, reduction='mean', label_smoothing=0.0)
```

Compute the cross entropy loss between input logits and target.

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.