# pooling(_:kernelSize:strides:padding:ceilingMode:) Adds a pooling operation to the current graph. ``` func pooling(_ function: BNNSGraph.Builder.PoolingFunction, kernelSize: [Int], strides: [Int], padding: BNNSGraph.Builder.PoolingPadding, ceilingMode: BNNSGraph.Builder.CeilingMode) -> BNNSGraph.Builder.Tensor ``` ## Parameters `function` An enumeration that specifies the pooling function. `kernelSize` The size of the pooling kernel. `strides` An array that contains the kernel stride for each spatial dimension. `padding` An enumeration that specifies that the operation computes the padding from the input and output shapes. If you specify `custom`, pass twice the number of spatial dimensions. `ceilingMode` An enumeration that specifies how the operation rounds when calculating the output size. ## Discussion This operation assumes the source tensor is in `(N, C, spatial dimensions...)` format, where the number of spatial dimensions is either `1` or `2` --- 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)