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# softMaxCrossEntropy(_:labels:axis:reuctionType:name:)

Creates a softmax cross-entropy loss operation and returns the result tensor.

```
func softMaxCrossEntropy(_ sourceTensor: MPSGraphTensor, labels labelsTensor: MPSGraphTensor, axis: Int, reuctionType reductionType: MPSGraphLossReductionType, name: String?) -> MPSGraphTensor
```

## Parameters

`sourceTensor`

The source tensor.

`labelsTensor`

The labels tensor.

`axis`

The axis over which the operation computes the softmax reduction.

`reductionType`

The type of reduction MPSGraph uses to reduce across all other axes than `axis`. See: [`MPSGraphLossReductionType`](/documentation/MetalPerformanceShadersGraph/MPSGraphLossReductionType).

`name`

The name for the operation.

## Return Value

A valid MPSGraphTensor object.

## Discussion

The softmax cross-entropy operation computes:

```md
    loss = reduction( - labels*ln( softmax(source) )), where
    sotfmax(source) = exp(source) / sum( exp(source) ), and
```

the operation performs the reduction over the `axis` dimension.

---

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