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# BNNSConvolutionLayerParameters

A structure containing convolution parameters.

```
struct BNNSConvolutionLayerParameters
```

## Topics

### Initializers

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

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

Returns a new convolution parameters structure.

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

### Instance Properties

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

The layer activation function.

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

Layer bias, one for each output channel.

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

The number of input channels.

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

The height of the convolution kernel.

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

The width of the convolution kernel.

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

The number of output channels.

[`weights`](/documentation/Accelerate/BNNSConvolutionLayerParameters/weights)

Convolution weights.

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

The X padding.

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

The X increment in the input image.

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

The Y padding.

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

The Y increment in the input image.


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