---
title: "init(normalizedShape:beta:gamma:varianceEpsilon:)"
framework: ML Compute
role: symbol
role_heading: Initializer
platforms: [iOS 14.0+, iPadOS 14.0+, Mac Catalyst 14.0+, macOS 11.0+, tvOS 14.0+]
path: "mlcompute/mlclayernormalizationlayer/init(normalizedshape:beta:gamma:varianceepsilon:)-5i2aa"
---

# init(normalizedShape:beta:gamma:varianceEpsilon:)

Creates a normalization layer with a shape, beta and gamma tensors, and variance epsilon you specify.

## Declaration

```swift
convenience init?(normalizedShape: [Int], beta: MLCTensor, gamma: MLCTensor, varianceEpsilon: Float)
```

## Parameters

- `normalizedShape`: The shape of the axes where normalization occurs.
- `beta`: The beta tensor.
- `gamma`: The gamma tensor.
- `varianceEpsilon`: The variance epsilon you use for numerical stability.

## See Also

### Creating Layer Normalization Layers

- [init(normalizedShape:beta:gamma:varianceEpsilon:)](mlcompute/mlclayernormalizationlayer/init(normalizedshape:beta:gamma:varianceepsilon:)-28e6g.md)