law ordered_sum_interpretation

bendtorch-core@0.1.0.0 · src/tensor/reduction_LAWS.bend:102

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/reduction.bend as Reduction

102law ordered_sum_interpretation:
103  for +shape: Shape.Shape
104  for tensor: Core.Tensor<shape>
105  for +values: List<&2, F32>
106  for logical: LogicalValues(Shape.logical_numel(Shape.dimensions(shape)), shape, tensor, 0n, values)
107  Interpretation<Reduction.sum_observation(shape, Reduction.sum(shape, tensor)), Some{Reduction.sequential_sum(values, 0.0)}>