def Permuted
bendtorch-core@0.1.0.0 · src/tensor/permute_values.bend:302
import bendtorch-core@0.1.0.0/src/tensor/permute_values.bend as PermuteValues
import Base
import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape
import bendtorch-core@0.1.0.0/src/tensor/core.bend as Core
import bendtorch-core@0.1.0.0/src/tensor/lifecycle.bend as Lifecycle
import bendtorch-core@0.1.0.0/src/tensor/transforms.bend as Transforms
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
302def Permuted(+input: Shape.Shape, +values: List<&2, F32>, +axes: List<&2, U32>,
303 -fits: {Lifecycle.logical_length(Replayed.storage(input, 0.0, FromValues.writes(values, 0n))) == Shape.logical_numel(Shape.dimensions(input)) : Nat},
304 Q: Core.Tensor<input> & Result<&2, &1, Transforms.Error, Core.Dynamic> -> Type) -> Type:
305 Q(Transforms.permute_copy(input, Core.TTensor{Replayed.storage(input, 0.0, FromValues.writes(values, 0n)), fits}, axes))