def ln_b2
import bendtorch@1.3.0.0/main.bend as Bendtorchimport Base
import bend-ml-tensor-array@0.1.18.0/main.bend as TA
1809def ln_b2(+d: Nat, -n: Nat, b: TA.Mat<1n, d>, gg: LN<d>, s: R4B) -> Bwd<LN<d>, TA.Mat<n, d>>:
1810 match gg s:
1811 case LN{ga, gb} R4B{x, dy, g, dx, A2{dg, db}}:
1812 gain_bwd_fin(n, d, LN<d>, LN{TA.Mat{g}, b}, TA.Mat{dx}, LN{Mat.sum2(1n, d, ga, TA.Mat{dg}), Mat.sum2(1n, d, gb, TA.Mat{db})})