# convTranspose(weight:strides:padding:outputPaddingValues:dilations:groupCount:) Adds a transposed convolution operation to the current graph. ``` func convTranspose(weight: some BNNSGraph.Builder.OperationParameter, strides: [Int], padding: BNNSGraph.Builder.ConvolutionPadding, outputPaddingValues: [Int]? = nil, dilations: [Int]? = nil, groupCount: Int = 1) -> BNNSGraph.Builder.Tensor ``` ## Parameters `weight` The convolution weights. `strides` An array that contains the kernel stride for each spatial dimension. `padding` An enumeration that specifies that the operation computes the padding from the input and output shapes. If you specify `custom`, pass twice the number of spatial dimensions. `dilations` An array that contains the kernel dilation for each spatial dimension. `groupCount` The number of convolution groups. Pass `1` to specify non-grouped convolution. ## Discussion This operation assumes the source tensor is in `(N, C, spatial dimensions...)` format, where the number of spatial dimensions is either `1` or `2`. --- 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)