def whole_copy_meaning

bendtorch-core@0.1.0.0 · src/tensor/transform_PROOF.bend:988

import Base
import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape
import bendtorch-core@0.1.0.0/src/tensor/layout.bend as Layout
import bendtorch-core@0.1.0.0/src/tensor/core.bend as Core
import bendtorch-core@0.1.0.0/src/tensor/transforms.bend as Transforms

988def whole_copy_meaning(+input: Shape.Shape, +axes: List<&2, U32>, +plan: Layout.Plan<input, axes>,
989  -source: Core.Tensor<input>, -target: Core.Tensor<Layout.output(input, axes, plan)>,
990  certificate: Transforms.LoopCertificate<input, axes, plan, source, Shape.elements(Layout.output(input, axes, plan)), 0n, source, target>) ->
991  Transforms.WholeCopyModel<input, axes, plan, source, target>:
992  Transforms.LoopCertificate{pair, exact, meaning} = certificate
993  Transforms.WholeCopyModel{
994    %exact : Transforms.LoopMeaning(input, axes, plan, source,
995      Shape.logical_numel(Shape.dimensions(Layout.output(input, axes, plan))), _)
996    %Shape.elements_exact(Layout.output(input, axes, plan)) : Transforms.LoopMeaning(input, axes, plan, source, _, pair)
997    %add_zero_right(Shape.elements(Layout.output(input, axes, plan))) : Transforms.LoopMeaning(input, axes, plan, source, _, pair)
998    meaning}