Add K & KT as customizable input for recon#2
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Added K and KT as optional input for BaseReconOptimizer and adapted recon_optimizer_th.py accordingly
Allows custom creation regularization operator, e.g. for summing up multiple dynamics
Example input for K:
K = lambda x, mode, beta: torch.stack([Nabla(mode=mode, beta=beta).forward(x[:, i, ...]) for i in range(x.shape[1])])