Bendtorch.act_f2: def of bendtorch@1.3.0.0
Import: import bendtorch@1.3.0.0/main.bend as Bendtorch
Lines 737-742 of bendtorch@1.3.0.0/main.bend: https://jend.leeeet.dev/read.txt?path=bendtorch@1.3.0.0/main.bend&start_line=737&end_line=742

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

# an element-wise activation that saves a copy of its output (relu, sigmoid, tanh: their derivative is a function of
# the output). `f` is the activation, `d(dy, y)` the gradient of its input.
def act_f2(-n: Nat, -c: Nat, r: TA.MM2<n, c>) -> Fwd<Unit, TA.Mat<n, c>, TA.Mat<n, c>>:
  match r:
    case TA.MM2{y, s}:
      Fwd{Unit{}, y, s}

Uses (5):
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Unit
  https://jend.leeeet.dev/definition.txt?path=bend-ml-tensor-array@0.1.19.0/main.bend&name=MM2
  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=Fwd