# prelu(alpha:) Adds a Parametric ReLU (PReLU) activation operation to the current graph. ``` func prelu(alpha: [Float]) -> BNNSGraph.Builder.Tensor ``` ## Discussion Performs the operation `prelu(self) = max(0, self) + alpha[i] * min(0, self)`, for each channel `i`. `self` must have at least two dimensions. The number of elements in `alpha` must be either 1 or `self.shape[1]`. The operation applies the weight `alpha[i]` to channel `i` while performing the activation. --- 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)