def Opt.mat
bendtorch@1.3.0.0 · main.bend:432
import bendtorch@1.3.0.0/main.bend as Bendtorch
import Base
import bend-ml-tensor-array@0.1.18.0/main.bend as TA
432
433
434def Opt.mat(+r: Nat, +c: Nat, +o: Opt, w: TA.Mat<r, c>, g: TA.Mat<r, c>, st: OptState<TA.Mat<r, c>>) -> MatStep<r, c>:
435 match o w g st:
436 case SGD{lr} TA.Mat{wd} TA.Mat{gd} _:
437 Opt.sgd_fin(r, c, sgd_l(Nat.mul(r, c), 0, lr, Array.get(F32, wd, 0), Array.get(F32, gd, 0)))
438 case Momentum{lr, mu} TA.Mat{wd} TA.Mat{gd} OneMom{TA.Mat{md}}:
439 Opt.mom_fin(r, c, mom_l(Nat.mul(r, c), 0, lr, mu, Array.get(F32, wd, 0), Array.get(F32, gd, 0), Array.get(F32, md, 0)))
440 case Adam{lr, b1, b2, eps, wd2, dec, step, bc2, c1, c2} TA.Mat{wd} TA.Mat{gd} TwoMom{TA.Mat{md}, TA.Mat{vd}}:
441 Opt.fin(r, c, adam_l(Nat.mul(r, c), 0, lr, c1, b2, c2, eps, wd2, dec, step, bc2, Array.get(F32, wd, 0), Array.get(F32, gd, 0), Array.get(F32, md, 0), Array.get(F32, vd, 0)))
442 case Adam{lr, b1, b2, eps, wd2, dec, step, bc2, c1, c2} TA.Mat{wd} TA.Mat{gd} Packed{t}:
443 adamh_mat(r, c, o, wd, gd, t)
444 case _ w g st:
445 MatStep{w, g, st}