def write_result
bendtorch-core@0.1.0.0 · src/tensor/core.bend:235
import bendtorch-core@0.1.0.0/src/tensor/core.bend as Core
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/tensor/lifecycle.bend as Lifecycle
235def write_result(-shape: Shape.Shape, -original: Storage.Storage,
236 -valid: {Lifecycle.logical_length(original) == Shape.logical_numel(Shape.dimensions(shape)) : Nat}, +i: U32, +value: F32,
237 pair: Storage.Storage & Result<&2, &2, Storage.Error, Unit>,
238 -same: {pair == Storage.set(original, i, value) : Storage.Storage & Result<&2, &2, Storage.Error, Unit>}) ->
239 Tensor<shape> & Result<&2, &2, Error, Unit>:
240 (storage, result) = pair
241 tensor : Tensor<shape> = TTensor{storage, Equal.trans(Nat, Lifecycle.logical_length(storage), Lifecycle.logical_length(original),
242 Shape.logical_numel(Shape.dimensions(shape)),
243 %Equal.sym(Storage.Storage & Result<&2, &2, Storage.Error, Unit>, (storage, result), Storage.set(original, i, value), same) :
244 {Lifecycle.retained_write(_) == Lifecycle.logical_length(original) : Nat}
245 Lifecycle.set_length(original, i, value), valid)}
246 (tensor, storage_write_error(result))