Bendtorch.lin_bwd: def of bendtorch@1.3.0.0
Import: import bendtorch@1.3.0.0/main.bend as Bendtorch
Lines 635-640 of bendtorch@1.3.0.0/main.bend: https://jend.leeeet.dev/read.txt?path=bendtorch@1.3.0.0/main.bend&start_line=635&end_line=640

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

# dX = dY·W, dW += dYᵀ·X, db += the column sums of dY; the two sums are added straight into the gradient (the
# accumulating products of bend-ml-tensor-array 0.1.10.0), with the bits of computing them apart and adding them
def lin_bwd(+n: Nat, +i: Nat, +o: Nat, +par: Nat, p: Lin<i, o>, x: TA.Mat<n, i>, dy: TA.Mat<n, o>, g: Lin<i, o>) -> Bwd<Lin<i, o>, TA.Mat<n, i>>:
  match p:
    case Lin{w, b}:
      lin_b2(n, i, o, par, b, x, g, TA.Mat.matmul_precise(n, o, i, par, dy, w))

Uses (6):
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat
  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=bend-ml-tensor-array@0.1.19.0/main.bend&name=Mat.matmul_precise
  https://jend.leeeet.dev/definition.txt?path=bendtorch@1.3.0.0/main.bend&name=Bwd
  https://jend.leeeet.dev/definition.txt?path=bendtorch@1.3.0.0/main.bend&name=Lin
  https://jend.leeeet.dev/definition.txt?path=bendtorch@1.3.0.0/main.bend&name=lin_b2