assignment.lapjvx_assignment
def lapjvx_assignment(cost: torch.Tensor) -> tuple[torch.Tensor, torch.Tensor, torch.Tensor]Solve a single LAP via the rectangular Jonker-Volgenant solver.
Parameters
| Name | Type | Description |
|---|---|---|
| cost | torch.Tensor | ``(N, M)`` cost matrix. May live on any device; moves to CPU transparently. |
Returns
torch.Tensor — ``(K, 2)`` long tensor of matched ``(row, col)`` indices on the input tensor's device.
Source: unitrack/assignment/lapjv/_solver.py:34