type UpdateCheckedModel
bendtorch-core@0.1.0.0 · src/tensor/core_PROOF.bend:295
import bendtorch-core@0.1.0.0/src/tensor/core_PROOF.bend as CorePROOF
import Base
import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape
import bendtorch-core@0.1.0.0/src/storage/main.bend as Storage
import bendtorch-core@0.1.0.0/src/storage/model.bend as Model
import bendtorch-core@0.1.0.0/src/tensor/core.bend as Core
295type UpdateCheckedModel<-shape: Shape.Shape, -depth: Nat, -length: Nat, -array: Array<F32>, -index: U32, -value: F32,
296 -allowed: Bool, -decision: {allowed == Nat.is_lt(U32.to_nat(index), length) : Bool},
297 -balanced: Model.Balanced(F32, depth, array), -valid: {Storage.bounds(depth, length) == True{} : Bool},
298 -length_exact: {length == Shape.logical_numel(Shape.dimensions(shape)) : Nat},
299 -same: {Storage.set_checked(depth, length, array, index, value, allowed, decision, balanced, valid) ==
300 Storage.set(Storage.Owned{depth, length, array, balanced, valid}, index, value) : Storage.Storage & Result<&2, &2, Storage.Error, Unit>}> is Data:
301 UpdateCheckedModel{-meaning: Core.UpdateMeaning(shape, Core.TTensor{Storage.Owned{depth, length, array, balanced, valid}, length_exact}, index, value,
302 Core.write_result(shape, Storage.Owned{depth, length, array, balanced, valid}, length_exact, index, value,
303 Storage.set_checked(depth, length, array, index, value, allowed, decision, balanced, valid), same))}