def matmul_replayed

bendtorch-core@0.1.0.0 · src/tensor/contracts/matmul_proof.bend:385

import Base
import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape
import bendtorch-core@0.1.0.0/src/storage/LAWS.bend as StorageLaws
import bendtorch-core@0.1.0.0/src/tensor/core.bend as Core
import bendtorch-core@0.1.0.0/src/tensor/lifecycle.bend as Lifecycle
import bendtorch-core@0.1.0.0/src/tensor/matmul.bend as Matrix
import bendtorch-core@0.1.0.0/src/tensor/contracts/replayed.bend as Replayed
import bendtorch-core@0.1.0.0/src/tensor/contracts/LAWS.bend as Laws

385def matmul_replayed(+left: Shape.Shape, +right: Shape.Shape, +plan: Matrix.Plan<left, right>,
386  planned: {Matrix.plan(left, right) == Done{plan} : Result<&2, &2, Matrix.Error, Matrix.Plan<left, right>>},
387  +left_fill: F32, +left_ops: List<&2, StorageLaws.Op>,
388  -left_fits: {Lifecycle.logical_length(Replayed.storage(left, left_fill, left_ops)) == Shape.logical_numel(Shape.dimensions(left)) : Nat},
389  +right_fill: F32, +right_ops: List<&2, StorageLaws.Op>,
390  -right_fits: {Lifecycle.logical_length(Replayed.storage(right, right_fill, right_ops)) == Shape.logical_numel(Shape.dimensions(right)) : Nat},
391  -P: Result<&2, &1, Matrix.Error, Core.Dynamic & Core.Dynamic & Core.Dynamic> -> Type,
392  h: Laws.MatmulWith(left, right, plan, left_fill, left_ops, right_fill, right_ops, P)) ->
393  P(Matrix.matmul(Core.Packed{left, Core.TTensor{Replayed.storage(left, left_fill, left_ops), left_fits}},
394    Core.Packed{right, Core.TTensor{Replayed.storage(right, right_fill, right_ops), right_fits}})):
395  match plan:
396    case Matrix.Plan{+output, +rows, +inner, +right_inner, +columns, le, re, oe, compatible}:
397      parallel_replayed_planned(left, right, output, rows, inner, right_inner, columns, le, re, oe, compatible, planned,
398        left_fill, left_ops, left_fits, right_fill, right_ops, right_fits, P, h)