Bendtorch.NLL: def of bendtorch@1.3.0.0
Import: import bendtorch@1.3.0.0/main.bend as Bendtorch
Lines 3305-3309 of bendtorch@1.3.0.0/main.bend: https://jend.leeeet.dev/read.txt?path=bendtorch@1.3.0.0/main.bend&start_line=3305&end_line=3309

import Base
import bend-ml-tensor-array@0.1.18.0/main.bend as TA

# negative log-likelihood of log-probabilities (PyTorch's F.nll_loss, mean over the rows)
def NLL(+n: Nat, +c: Nat, logp: TA.Mat<n, c>, labels: List<&2, Nat>) -> LossOut<TA.Mat<n, c>>:
  match logp:
    case TA.Mat{lp}:
      nll_fin(c, n, nll_rows(n, labels, 0, c, F32.neg((1.0 / F32.from_nat(n) : F32)), NS{lp, zeros_a(Nat.mul(n, c)), 0.0}))

Uses (13):
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=F32
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=F32.div
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=F32.from_nat
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=F32.neg
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=List
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat.mul
  https://jend.leeeet.dev/definition.txt?path=bend-ml-tensor-array@0.1.19.0/main.bend&name=Mat
  https://jend.leeeet.dev/definition.txt?path=bendtorch@1.3.0.0/main.bend&name=LossOut
  https://jend.leeeet.dev/definition.txt?path=bendtorch@1.3.0.0/main.bend&name=NS
  https://jend.leeeet.dev/definition.txt?path=bendtorch@1.3.0.0/main.bend&name=nll_fin
  https://jend.leeeet.dev/definition.txt?path=bendtorch@1.3.0.0/main.bend&name=nll_rows
  https://jend.leeeet.dev/definition.txt?path=bendtorch@1.3.0.0/main.bend&name=zeros_a