---
title: "channelNorm(weight:bias:epsilon:)"
framework: accelerate
role: symbol
role_heading: Instance Method
path: "accelerate/bnnsgraph/builder/tensor/channelnorm(weight:bias:epsilon:)"
---

# channelNorm(weight:bias:epsilon:)

Adds a channel normalization operation to the current graph.

## Declaration

```swift
func channelNorm(weight: some BNNSGraph.Builder.OperationParameter<T>, bias: some BNNSGraph.Builder.OperationParameter<T>, epsilon: Float = .ulpOfOne.squareRoot()) -> BNNSGraph.Builder.Tensor<T>
```

## Parameters

- `weight`: The weight values.
- `bias`: The bias values.
- `epsilon`: The epsilon value that the function uses to avoid division by zero.

## Discussion

Discussion This function performs channel normalization of self with an affine transform using weight and bias. weight and bias must be one-dimensional and have size self.shape[1]. self must be at least three-dimensional.