type ArrStep

bendtorch-core@0.1.0.0 · src/tensor/matmul_parallel_proof.bend:32

import Base
import bendtorch-core@0.1.0.0/src/storage/model.bend as Model
import bendtorch-core@0.1.0.0/src/storage/refinement.bend as Refinement
import bendtorch-core@0.1.0.0/src/tensor/matmul.bend as Matrix
import bendtorch-core@0.1.0.0/src/tensor/dot_fold.bend as DotFold

32type ArrStep<-fuel: Nat, -dl: Nat, -dr: Nat, -A: Array<F32>, -B: Array<F32>, -inner: Nat, -columns: Nat,
33  -row: Nat, -column: Nat, -cursor: Nat, -lv: F32, -rv: F32, -values: List<&2, DotFold.Factors>> is Data:
34  ArrStep{-left_observed: {Model.observe(F32, dl, A, Refinement.route(dl, Matrix.left_index(inner, row, cursor))) == Some{lv} : Maybe<&2, F32>},
35    -right_observed: {Model.observe(F32, dr, B, Refinement.route(dr, Matrix.right_index(columns, column, cursor))) == Some{rv} : Maybe<&2, F32>},
36    -remaining: LogicalArr(fuel, dl, dr, A, B, inner, columns, row, column, 1n+cursor, values)}