ut3_corewise_frame#
- t3toolbox.backend.ufv_conversions.ut3_corewise_frame(data)#
def ut3_corewise_frame( data: typ.Tuple[ NDArray, # tucker_supercore NDArray, # tt_supercore typ.Tuple[int, ...], # shape typ.Tuple[NDArray, NDArray], # (tucker_edge_mask, tt_edge_mask) ], ) -> typ.Tuple: # uniform frame .data = (U, G, G, G, shape, masks)
The uniform corewise frame: the twin of
t3_corewise_frame(), carrying the(U, G, G, G)supercores and the matching(tucker, tucker, tt, tt)frame mask set.The mask half is the part worth naming – the corewise frame’s four mask slots are the plain tensor’s two, doubled, and getting that pairing wrong produces a frame that validates but gauges the wrong slots.