ConvTranspose3d does not accept non-uniform kernelSize/stride values #1274
Description
I am trying to replicate a pytorch UNet model where one of the layers is defined as
ConvTranspose3d(320, 320, kernel_size=(1, 2, 2), stride=(1, 2, 2))
TorchSharp does not expose an interface to specify kernel sizes and strides as a tuple, but only as single long values.
The same is true for ConvTranspose2d.