[ADD] Kronecker Hessian approximations for ConvTranspose{1,2,3}d#292
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Convolution layers with a single output behave like linear layers, as the weights are not shared over the input.
- adds a test case for `ConvTranspose2d`. Note that due to the different index order, working with the Kronecker representation for weights of transpose convolutions is involved. Warn user about this. - adapt tests of `KFAC, KFLR, KFRA` by adding a utility function to fix the index order after expanding the Kronecker product.
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This PR generalizes the Kronecker approximations for convolution to transpose convolution.