def out_spec

bendtorch-core@0.1.0.0 · src/autograd/reduce_replayed_proof.bend:263

import Base
import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape
import bendtorch-core@0.1.0.0/src/storage/model.bend as Model
import bendtorch-core@0.1.0.0/src/storage/LAWS.bend as StorageLaws

263def out_spec(+plan: Shape.BroadcastPlan, +map: PlanMap(plan), +shape: Shape.Shape, +fill: F32, +ops: List<&2, StorageLaws.Op>, +count: Nat, +depth: Nat, +base: Nat) -> Array<F32>:
264  match depth:
265    case 0n:
266      ALeaf{out_leaf(plan, map, shape, fill, ops, base, Nat.is_lt(base, count))}
267    case 1n+inner:
268      ANode{out_spec(plan, map, shape, fill, ops, count, inner, base), out_spec(plan, map, shape, fill, ops, count, inner, Nat.add(Model.capacity(inner), base))}