def count_outcome
bendtorch-core@0.1.0.0 · src/tensor/core_PROOF.bend:53
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/tensor/core.bend as Core
53def count_outcome(+shape: Shape.Shape, +values: List<&2, F32>,
54 equal: {Shape.logical_numel(Shape.dimensions(shape)) == List.length(&2, F32, values) : Nat},
55 result: Result<&2, &1, Core.Error, Core.Tensor<shape>>) -> Core.ValuesCount(shape, values, result):
56 match result:
57 case Fail{error}:
58 Unit{}
59 case Done{tensor}:
60 equal