---
title: "BNNSFilterCreateLayerResize(_:_:)"
framework: accelerate
role: symbol
role_heading: Function
path: "accelerate/bnnsfiltercreatelayerresize(_:_:)"
---

# BNNSFilterCreateLayerResize(_:_:)

Returns a new resize layer.

## Declaration

```swift
func BNNSFilterCreateLayerResize(_ layer_params: UnsafePointer<BNNSLayerParametersResize>, _ filter_params: UnsafePointer<BNNSFilterParameters>?) -> BNNSFilter?
```

## Parameters

- `layer_params`: Layer parameters.
- `filter_params`: The filter runtime parameters.

## Discussion

Discussion Use a resize layer to copy data between two differently sized tensors using a specified interpolation method. Resized dimensions must all either upsample or downsample; the resize layer doesn’t support combining both directions in a single operation. For example, to resize the following source data to the specified destination dimensions: let sourceData: [Float] = [0, 1, 0,                            1, 1, 1,                            0, 1, 0]

let destinationWidth = 24 let destinationHeight = 9

var destinationData = [Float](repeating: 0,                               count: destinationWidth * destinationHeight) Use the following code:

let inputDescriptor = BNNSNDArrayDescriptor(flags: flags,                                            layout: BNNSDataLayoutRowMajorMatrix,                                            size: (3, 3, 0, 0, 0, 0, 0, 0),                                            stride: (0, 0, 0, 0, 0, 0, 0, 0),                                            data: nil,                                            data_type: .float,                                            table_data: nil,                                            table_data_type: .float,                                            data_scale: 1,                                            data_bias: 0)

let outputDescriptor = BNNSNDArrayDescriptor(flags: flags,                                             layout: BNNSDataLayoutRowMajorMatrix,                                             size: (destinationWidth, destinationHeight, 0, 0, 0, 0, 0, 0),                                             stride: (0, 0, 0, 0, 0, 0, 0, 0),                                             data: nil,                                             data_type: .float,                                             table_data: nil,                                             table_data_type: .float,                                             data_scale: 1,                                             data_bias: 0)

var params = BNNSLayerParametersResize(method: BNNSInterpolationMethodNearest,                                        i_desc: inputDescriptor,                                        o_desc: outputDescriptor,                                        align_corners: false)

let filter = BNNSFilterCreateLayerResize(&params, nil)

defer {     BNNSFilterDestroy(filter) }

BNNSFilterApply(filter,                 sourceData,                 &destinationData) On return, destinationData contains the following values: 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0  0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0  0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0  1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1  1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1  1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1  0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0  0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0  0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0

## See Also

### Resize layers

- [BNNS.ResizeLayer](accelerate/bnns/resizelayer.md)
- [BNNSInterpolationMethod](accelerate/bnnsinterpolationmethod.md)
- [BNNSLayerParametersResize](accelerate/bnnslayerparametersresize.md)