parameters method
Trainable tensors owned by this module (and its submodules).
Implementation
@override
List<Tensor> parameters() => [
...attnLn.parameters(),
for (final l in qHeads) ...l.parameters(),
for (final l in kHeads) ...l.parameters(),
for (final l in vHeads) ...l.parameters(),
...outProj.parameters(),
...crossAttnLn.parameters(),
for (final l in crossQHeads) ...l.parameters(),
for (final l in crossKHeads) ...l.parameters(),
for (final l in crossVHeads) ...l.parameters(),
...crossOutProj.parameters(),
...mlpLn.parameters(),
...mlp0.parameters(),
...mlp2.parameters(),
];