def ce_fin2

bend-ml-tensor-fork@0.1.6.0 · main.bend:402

import Base
import bend-ml-tensor-array@0.1.19.0/main.bend as TA

402# after the blocks: the loss from t, then any labels past the n rows, in order, then tensor-array's mean
403def ce_fin2(-n: Nat, -c: Nat, +nf: F32, +mm1: Nat, +mu: U32, +k: Nat, rest: List<&2, Nat>, g: B3<F32, U32, F32>) -> TA.MCE<n, c>:
404  match g:
405    case B3{z, lab, t}:
406      TA.ce_fin(n, c, nf, TA.cea_rows(rest, mm1, mu, nf, U32.from_nat(k), TA.L2{ce_sum(k, 0, 0.0, Array.get(F32, t, 0)), z}))
407
408@unsafe