BendMlAutograd.gbwd: def of bend-ml-autograd@0.1.1.0
Import: import bend-ml-autograd@0.1.1.0/main.bend as BendMlAutograd
Lines 185-201 of bend-ml-autograd@0.1.1.0/main.bend: https://jend.leeeet.dev/read.txt?path=bend-ml-autograd@0.1.1.0/main.bend&start_line=185&end_line=201

import Base

# g is the gradient arriving at the node; acc accumulates the gradient of each variable
def gbwd(e: G, +env: List<&2, F32>, +g: F32, acc: List<&2, F32>) -> List<&2, F32>:
  match e:
    case GCst{c}:
      acc
    case GVar{+i}:
      acc_add(acc, i, g)
    case GAdd{a, b}:
      gbwd(b, env, g, gbwd(a, env, g, acc))
    case GMul{+a, +b}:
      gbwd(b, env, (g * gval(a, env) : F32), gbwd(a, env, (g * gval(b, env) : F32), acc))
    case GRelu{+a}:
      gbwd(a, env, (g * relu_d(gval(a, env)) : F32), acc)
    case GTanh{+a}:
      gbwd(a, env, (g * tanh_d(gval(a, env)) : F32), acc)
    case GExp{+a}:
      gbwd(a, env, (g * F32.exp(gval(a, env)) : F32), acc)

Uses (9):
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=F32
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=F32.exp
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=F32.mul
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=List
  https://jend.leeeet.dev/definition.txt?path=bend-ml-autograd@0.1.1.0/main.bend&name=G
  https://jend.leeeet.dev/definition.txt?path=bend-ml-autograd@0.1.1.0/main.bend&name=acc_add
  https://jend.leeeet.dev/definition.txt?path=bend-ml-autograd@0.1.1.0/main.bend&name=gval
  https://jend.leeeet.dev/definition.txt?path=bend-ml-autograd@0.1.1.0/main.bend&name=relu_d
  https://jend.leeeet.dev/definition.txt?path=bend-ml-autograd@0.1.1.0/main.bend&name=tanh_d