---
title: "pooling(_:kernelSize:strides:padding:ceilingMode:)"
framework: accelerate
role: symbol
role_heading: Instance Method
path: "accelerate/bnnsgraph/builder/tensor/pooling(_:kernelsize:strides:padding:ceilingmode:)"
---

# pooling(_:kernelSize:strides:padding:ceilingMode:)

Adds a pooling operation to the current graph.

## Declaration

```swift
func pooling(_ function: BNNSGraph.Builder.PoolingFunction, kernelSize: [Int], strides: [Int], padding: BNNSGraph.Builder.PoolingPadding, ceilingMode: BNNSGraph.Builder.CeilingMode) -> BNNSGraph.Builder.Tensor<T>
```

## 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

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