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# BNNSLayerParametersConvolution

A structure that contains the parameters of a convolution layer.

```
struct BNNSLayerParametersConvolution
```

## Topics

### Initializers

[`init(i_desc:w_desc:o_desc:bias:activation:x_stride:y_stride:x_dilation_stride:y_dilation_stride:x_padding:y_padding:groups:pad:)`](/documentation/Accelerate/BNNSLayerParametersConvolution/init(i_desc:w_desc:o_desc:bias:activation:x_stride:y_stride:x_dilation_stride:y_dilation_stride:x_padding:y_padding:groups:pad:))

Returns a new convolution layer parameters structure from the specified parameters.

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

Returns a new convolution layer parameters structure.

### Instance Properties

[`i_desc`](/documentation/Accelerate/BNNSLayerParametersConvolution/i_desc)

The descriptor of the input.

[`w_desc`](/documentation/Accelerate/BNNSLayerParametersConvolution/w_desc)

The descriptor of the weights.

[`o_desc`](/documentation/Accelerate/BNNSLayerParametersConvolution/o_desc)

The descriptor of the output.

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

The bias descriptor.

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

The activation function that the layer applies to the output.

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

The width increment of the input image.

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

The height increment of the input image.

[`x_dilation_stride`](/documentation/Accelerate/BNNSLayerParametersConvolution/x_dilation_stride)

The width increment between elements in the input image during convolution.

[`y_dilation_stride`](/documentation/Accelerate/BNNSLayerParametersConvolution/y_dilation_stride)

The height increment between elements in the input image during convolution.

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

The width padding, which is the number of virtual zeros added to the left and right of each channel.

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

The height padding, which is the number of virtual zeros added to the top and bottom of each channel.

[`groups`](/documentation/Accelerate/BNNSLayerParametersConvolution/groups)

Convolution group size.

[`pad`](/documentation/Accelerate/BNNSLayerParametersConvolution/pad)

Padding which is asymmetric and ignored if the width or height padding values are greater than zero.


---

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