Optical　logic　operations　are　an　essential　part　of　optical　computing.　The　inherent　stability　and　low　susceptibility　of　polarization　to　the　external　environment　make　it　a　suitable　choice　for　acting　as　the　logical　state　in　computational　tasks.　Traditional　polarization-based　optical　logic　devices　often　rely　on　complex　cascading　structures　to　implement　multiple　logic　gates.　In　this　work,　by　leveraging　the　framework　of　deep　diffractive　neural　networks　(D2NN),　we　proposed　a　uniform　approach　to　designing　polarization-encoded　all-optical　logic　devices　with　simpler　and　more　flexible　structures.　We　have　implemented　AND,　OR,　NOT,　NAND,　and　NOR　gates,　as　well　as　High-order　Selector　and　Low-order　Selector.　These　polarization-based　all-optical　logic　devices　using　D2NN　offer　passive　nature,　stability,　and　high　extinction　ratio　features,　paving　the　way　for　a　broader　exploration　of　optical　logic　computing　in　the　future.　©　2024　IOP　Publishing　Ltd.