DenseLU

Source: solvers/dense_lu.py

Dense LU linear solver. Assembles the (possibly) sparse matrix into a dense one and uses a standard LU decomposition.

The dense-vs-block-diagonal dispatch is implicit in the wrapped Tensor operand: Tensor.solve forwards to torch.linalg.solve on the trailing matrix dims, so leading sub-batch axes (if any) batch naturally as independent LUs per site – no special-case code at this layer.

This type has no documented options.