def strided_fiber
bendtorch-core@0.1.0.0 · src/autograd/reduce_parallel_proof.bend:517
import bendtorch-core@0.1.0.0/src/autograd/reduce_parallel_proof.bend as ReduceParallelProof
import Base
import bendtorch-core@0.1.0.0/src/tensor/parallel_proofs.bend as Generic
import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape
import bendtorch-core@0.1.0.0/src/autograd/reduce.bend as Reduce
517
518def strided_fiber(+stride: Nat, +left: Nat, +right: Nat, +rest: List<&2, Shape.Row>, +extent: Nat, +others: List<&2, Nat>,
519 +single: {Reduce.single_rows(rest, others) == True{} : Bool}, fuel: Nat, +target: Nat, +base: Nat, +digit: Nat, +accumulator: F32,
520 array: Array<F32>) ->
521 Generic.Fact<{Reduce.strided(fuel, right, base, digit, Reduce.single_offset(rest, others, Nat.mod(target, left), 0n), accumulator, array) ==
522 Reduce.fiber(Shape.Row{stride, left, right} <> rest, extent <> others, fuel, target, base, digit, accumulator, array) : F32 & Array<F32>}>:
523 match fuel:
524 case 0n:
525 Generic.Fact{{==}}
526 case 1n+remaining:
527 run_fiber(stride, left, right, rest, extent, others, single, remaining, target, base, digit, accumulator, array,
528 Array.get(F32, array, U32.from_nat(Reduce.strided_offset(right, base, digit, Reduce.single_offset(rest, others, Nat.mod(target, left), 0n)))), {==})