def parallel_multiply
bendtorch-core@0.1.0.0 · src/tensor/matmul.bend:387
import bendtorch-core@0.1.0.0/src/tensor/matmul.bend as Matmul
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
387def parallel_multiply(+left: Shape.Shape, +right: Shape.Shape, +plan: Plan<left, right>,
388 a: Core.Tensor<left>, b: Core.Tensor<right>) -> Result<&2, &1, Error, Core.Dynamic & Core.Dynamic & Core.Dynamic>:
389 match plan:
390 case Plan{+output, rows, +inner, right_inner, +columns, le, re, oe, compatible}:
391 parallel_allocated(left, right, output, U32.to_nat(inner), U32.to_nat(columns), a, b, Core.new(output, 0.0))