BendMlTensorArray.cea_grad: def of bend-ml-tensor-array@0.1.19.0
Import: import bend-ml-tensor-array@0.1.19.0/main.bend as BendMlTensorArray
Lines 429-435 of bend-ml-tensor-array@0.1.19.0/main.bend: https://jend.leeeet.dev/read.txt?path=bend-ml-tensor-array@0.1.19.0/main.bend&start_line=429&end_line=435

import Base

# cell idx (column j) becomes ((e / s) - onehot) / nf, for k + 1 cells
def cea_grad(k: Nat, +idx: U32, +j: Nat, +label: Nat, +s: F32, +nf: F32, r: Array<F32> & F32) -> Array<F32>:
  match k r:
    case 0n Tuple{c, +x}:
      Array.set(F32, c, idx, ((((x / s : F32) - hit(Nat.is_eq(label, j)) : F32) / nf) : F32))
    case 1n+p Tuple{c, +x}:
      cea_grad(p, (idx + 1 : U32), 1n+j, label, s, nf, Array.get(F32, Array.set(F32, c, idx, ((((x / s : F32) - hit(Nat.is_eq(label, j)) : F32) / nf) : F32)), (idx + 1 : U32)))

Uses (13):
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Array
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Array.get
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Array.set
  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.sub
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat.is_eq
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Pair
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Sigma
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=U32
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=U32.add
  https://jend.leeeet.dev/definition.txt?path=bend-ml-tensor-array@0.1.19.0/main.bend&name=hit