module PartitionedRegression.Build.ScalarEvaluation

import Platform.Linux.Nvidia.LinearStep
import Platform.Linux.Nvidia.ProgramPlan
import Platform.Linux.Nvidia.PlanHost
import Platform.RunPod.Nvidia.SM86
import Model.Word64

-- Both regression decompositions use the checked one-output, one-input
-- evaluator with a zero device update rate. Their global updates stay explicit
-- in the learner. Target facts come only from the selected profile.
def regressionScalarPlan =
  (lambda unrestricted profile : (family RunPodSM86TargetProfile) .
    (nvidiaLinearStepPlan
      1
      1
      0
      runPodSM86QMDArchitecture
      runPodSM86ComputeClass
      runPodSM86SPAVersion
      runPodSM86QMDSlotBytes
      (runPodSM86ProductIdentityPadded profile)
      nvidiaPlanHostAmpere580
      (modelWord64Natural (runPodSM86TotalVideoMemory profile))))