def permuted_dimensions

bendtorch-core@0.1.0.0 · src/tensor/permute_values.bend:313

import Base
import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape
import bendtorch-core@0.1.0.0/src/tensor/lifecycle.bend as Lifecycle
import bendtorch-core@0.1.0.0/src/tensor/layout.bend as Layout
import bendtorch-core@0.1.0.0/src/tensor/axis_spec.bend as Axis
import bendtorch-core@0.1.0.0/src/tensor/permutation_mapping.bend as Mapping
import bendtorch-core@0.1.0.0/src/tensor/from_values_contract.bend as FromValues
import bendtorch-core@0.1.0.0/src/tensor/contracts/replayed.bend as Replayed
import bendtorch-core@0.1.0.0/src/tensor/transform_observation.bend as Observation

313def permuted_dimensions(+input: Shape.Shape, +values: List<&2, F32>, +axes: List<&2, U32>, +valid: {True{} == Layout.bijective(input, axes) : Bool},
314  -fits: {Lifecycle.logical_length(Replayed.storage(input, 0.0, FromValues.writes(values, 0n))) == Shape.logical_numel(Shape.dimensions(input)) : Nat}) ->
315  Permuted(input, values, axes, fits, pair => {Observation.applied_dimensions_pair(input, pair) ==
316    Some{Axis.order(U32, Shape.dimensions(input), Shape.naturals(axes))} : Maybe<&2, List<&2, U32>>}):
317  permute_lift(input, values, axes, valid, pair => {Observation.applied_dimensions_pair(input, pair) ==
318      Some{Axis.order(U32, Shape.dimensions(input), Shape.naturals(axes))} : Maybe<&2, List<&2, U32>>},
319    plan => source_fits => target_fits =>
320      Equal.cong(List<&2, U32>, Maybe<&2, List<&2, U32>>, dimensions => Some{dimensions},
321        Shape.dimensions(Layout.output(input, axes, plan)), Axis.order(U32, Shape.dimensions(input), Shape.naturals(axes)),
322        Mapping.permutation_dimensions_order(input, axes, plan)), fits)