def reshape_outcome

bendtorch-core@0.1.0.0 · src/tensor/reshape_contract.bend:100

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/read_contract.bend as Reads
import bendtorch-core@0.1.0.0/src/tensor/transform_observation.bend as Observation

100def reshape_outcome(+input: Shape.Shape, +fill: F32, +target: Shape.Shape, +same: {Shape.logical_numel(Shape.dimensions(input)) == Shape.logical_numel(Shape.dimensions(target)) : Nat}) ->
101  {Observation.reshape_code(input, Shape.dimensions(target), Core.new(input, fill)) == Some{0} : Maybe<&2, U32>}:
102  Reads.new_lift(input, fill, result => {Observation.reshape_code(input, Shape.dimensions(target), result) == Some{0} : Maybe<&2, U32>},
103    valid => reshape_lift(input, target, StorageLaws.created(Shape.count(input), fill), valid, same,
104        result => {Some{Observation.status(result)} == Some{0} : Maybe<&2, U32>},
105        output => preserved => fits => {==}))