# transposed(permutation:) Returns a transposed shaped array using a custom permutation. ``` func transposed(permutation axes: [Int]) -> MLShapedArray ``` ## Discussion Use this method to convert, for example, the image data layout from `[C, H, W]` to `[C, W, H]`, where `C` is channel, `W` is width, and `H` is height. ```swift // The source tensor has 3 channels, 128 x 64 image in [C, H, W] layout. let imageCHW = MLShapedArray(scalars: pixelValues, shape: [3, 64, 128]) let imageCWH = imageCHW.transposed(permutation: [0, 2, 1]) imageCHW.shape // [3, 64, 128] imageCWH.shape // [3, 128, 64] ``` The shape (`shape_out`) is transposed from the input shape (`shape_in`) as follows. ```swift shape_out[i] == permutation.map { shape_in[$0] } ``` The scalar value of the output shaped array (`array_out`) is related to the input shaped array (`array_in`) as follows. ```swift array_out(scalarAt: permutation.map { indices[$0] }) == array_in[scalarAt: indices]] ``` --- Copyright © 2026 Apple Inc. All rights reserved. | [Terms of Use](https://www.apple.com/legal/internet-services/terms/site.html) | [Privacy Policy](https://www.apple.com/privacy/privacy-policy)