anchor.diff:  
           let trainCfg = {Train.defaultCfg with   BatchSize          = batchSize
                                                   Termination        = Train.ItersWithoutImprovement 100
  -                                                DumpPrefix         = None}
  +                                                DumpPrefix         = None
  +                                                MaxIters           = Some 20}
           let trnErr,valErr,tstErr = classificationErrors  batchSize data pred_fun
           printfn"Classification errors before training:"
           printfn "Train Error = %f%%, Validation Error = %f%%, Test Error =%f%% " (trnErr*100.0f) (valErr*100.0f) (tstErr*100.0f)
  
positive.code: 
  
          //let tr = trc.End()
          0
  
  
  
negative.code: //        SymTensor.Compiler.Cuda.Debug.DebugCompile <- true
  //        SymTensor.Compiler.Cuda.Debug.ResourceUsage <- true
  //        SymTensor.Compiler.Cuda.Debug.DisableStreams <- true
          SymTensor.Compiler.Cuda.Debug.DumpCode <- true
          SymTensor.Compiler.Cuda.Debug.DisableStreams <- true
          SymTensor.Compiler.Cuda.Debug.DisableEvents <- true
          SymTensor.Compiler.Cuda.Debug.TerminateWhenNonFinite <- false
  
          //let trc = SymTensor.Trace.startSession "trace"
  
  