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# BNNSPoolingLayerParameters

A structure containing pooling layer parameters.

```
struct BNNSPoolingLayerParameters
```

## Topics

### Initializers

[`init()`](/documentation/Accelerate/BNNSPoolingLayerParameters/init())

[`init(x_stride:y_stride:x_padding:y_padding:k_width:k_height:in_channels:out_channels:pooling_function:bias:activation:)`](/documentation/Accelerate/BNNSPoolingLayerParameters/init(x_stride:y_stride:x_padding:y_padding:k_width:k_height:in_channels:out_channels:pooling_function:bias:activation:))

Returns a new pooling layer parameters structure

[`init(x_stride:y_stride:x_padding:y_padding:k_width:k_height:in_channels:out_channels:pooling_function:)`](/documentation/Accelerate/BNNSPoolingLayerParameters/init(x_stride:y_stride:x_padding:y_padding:k_width:k_height:in_channels:out_channels:pooling_function:))

### Instance Properties

[`activation`](/documentation/Accelerate/BNNSPoolingLayerParameters/activation)

The layer activation function.

[`bias`](/documentation/Accelerate/BNNSPoolingLayerParameters/bias)

Layer bias, one for each output channel.

[`in_channels`](/documentation/Accelerate/BNNSPoolingLayerParameters/in_channels)

The number of input channels.

[`k_height`](/documentation/Accelerate/BNNSPoolingLayerParameters/k_height)

The height of the convolution kernel.

[`k_width`](/documentation/Accelerate/BNNSPoolingLayerParameters/k_width)

The width of the convolution kernel.

[`out_channels`](/documentation/Accelerate/BNNSPoolingLayerParameters/out_channels)

The number of output channels.

[`pooling_function`](/documentation/Accelerate/BNNSPoolingLayerParameters/pooling_function)

The pooling function to apply to each sample.

[`x_padding`](/documentation/Accelerate/BNNSPoolingLayerParameters/x_padding)

The X padding.

[`x_stride`](/documentation/Accelerate/BNNSPoolingLayerParameters/x_stride)

The X increment in the input image.

[`y_padding`](/documentation/Accelerate/BNNSPoolingLayerParameters/y_padding)

The Y padding.

[`y_stride`](/documentation/Accelerate/BNNSPoolingLayerParameters/y_stride)

The Y increment in the input image.


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