# layerNorm(weight:bias:axes:epsilon:) Adds a layer normalization operation to the current graph. ``` func layerNorm(weight: some BNNSGraph.Builder.OperationParameter, bias: some BNNSGraph.Builder.OperationParameter, axes: [Int], epsilon: Float = .ulpOfOne.squareRoot()) -> BNNSGraph.Builder.Tensor ``` ## Parameters `weight` The weight values. `bias` The bias values. `axes` The axes over which the operation performs normalization. `epsilon` The epsilon value that the function uses to avoid division by zero. ## Discussion This function performs layer normalization of `self` with an affine transform using `weight` and `bias`. The shape of `weight` and `bias` must match the corresponding dimensions of `self` specified in `axes`. --- Copyright © 2026 Apple Inc. All rights reserved. | [Terms of Use](https://www.apple.com/legal/internet-services/terms/site.html) | [Privacy Policy](https://www.apple.com/privacy/privacy-policy)