/data/refman/pasoursint/CMSSW_5_3_10_patch1/src/PhysicsTools/MVATrainer/plugins/mlp_gen.h

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#ifndef __private_mlp_gen_h
#define __private_mlp_gen_h

#if defined(__GNUC__) && (__GNUC__ > 3 || __GNUC__ == 3 && __GNUC_MINOR__ >= 4)
#       define MLP_HIDDEN __attribute__((visibility("hidden")))
#endif

#ifdef __cplusplus
extern "C" {
#endif

typedef double dbl;
typedef double type_pat;

/* definition du reseau */
extern struct net_
{
  int Nlayer, *Nneur, Nweights;
  dbl ***Weights;
  dbl **vWeights;
  dbl **Deriv1, **Inn, **Outn, **Delta;
  int **T_func;
  int Rdwt, Debug;
} net_ MLP_HIDDEN;
#define NET net_   

/* apprentissage */
extern struct learn_
{
        int Nepoch, Meth, Nreset;
        dbl Tau,Norm,Decay,Lambda,Alambda;
        dbl eta, epsilon, delta;
        dbl ***Odw;
        dbl ***DeDw, ***ODeDw;
} learn_ MLP_HIDDEN;
#define LEARN learn_

extern struct pat_
{
        int Npat[2], Iponde, Nin, Nout;
        type_pat ***Rin, ***Rans, **Pond;
        type_pat **vRin; 
        dbl Ponds[10];
} pat_ MLP_HIDDEN;
#define PAT pat_

extern struct divers_
{
        int Dbin;
        int Ihess;
        int Norm, Stat;
        char Outf;
} divers_ MLP_HIDDEN;
#define DIVERS divers_  

extern struct stat_
{
        dbl *mean,*sigma;
} stat_ MLP_HIDDEN;
#define STAT stat_
        
extern int MessLang MLP_HIDDEN;
extern int OutputWeights MLP_HIDDEN;
extern int ExamplesMemory MLP_HIDDEN;
extern int WeightsMemory MLP_HIDDEN;
extern int PatMemory[2] MLP_HIDDEN;
extern int BFGSMemory MLP_HIDDEN;
extern int JacobianMemory MLP_HIDDEN;
extern int LearnMemory MLP_HIDDEN;
extern int NetMemory MLP_HIDDEN;
extern float MLPfitVersion MLP_HIDDEN;
extern dbl LastAlpha MLP_HIDDEN;
extern int NLineSearchFail MLP_HIDDEN;

extern dbl ***dir MLP_HIDDEN;
extern dbl *delta MLP_HIDDEN;
extern dbl **BFGSH MLP_HIDDEN;
extern dbl *Gamma MLP_HIDDEN;
extern dbl **JacobianMatrix MLP_HIDDEN;
extern int *ExamplesIndex MLP_HIDDEN;
extern dbl **Hessian MLP_HIDDEN;

extern void     MLP_Out(type_pat *rrin, dbl *rrout) MLP_HIDDEN;
extern void     MLP_Out2(type_pat *rrin) MLP_HIDDEN;
extern void     MLP_Out_T(type_pat *rrin) MLP_HIDDEN;
extern dbl      MLP_Test(int ifile, int regul) MLP_HIDDEN;
extern dbl      MLP_Epoch(int iepoch, dbl *alpmin, int *ntest) MLP_HIDDEN;
extern int      MLP_Train(int *ipat,dbl *err) MLP_HIDDEN;
extern dbl      MLP_Stochastic() MLP_HIDDEN;
        
extern int      StochStep() MLP_HIDDEN;

extern dbl      DeDwNorm() MLP_HIDDEN;
extern dbl      DeDwProd() MLP_HIDDEN;
extern void     DeDwZero() MLP_HIDDEN;
extern void     DeDwSaveZero() MLP_HIDDEN;
extern void     DeDwScale(int Nexamples) MLP_HIDDEN;
extern void     DeDwSave() MLP_HIDDEN;
extern int      DeDwSum(type_pat *ans, dbl *out, int ipat) MLP_HIDDEN;

extern int      SetTransFunc(int layer, int neuron, int func) MLP_HIDDEN;
extern void     SetDefaultFuncs() MLP_HIDDEN;

extern void     SteepestDir() MLP_HIDDEN;
extern void     CGDir(dbl beta) MLP_HIDDEN;
extern dbl      DerivDir() MLP_HIDDEN;
extern void     GetGammaDelta() MLP_HIDDEN;
extern void     BFGSdir(int Nweights) MLP_HIDDEN;
extern void     InitBFGSH(int Nweights) MLP_HIDDEN;
extern int      GetBFGSH(int Nweights) MLP_HIDDEN;

extern int      LineSearch(dbl *alpmin, int *Ntest, dbl Err0) MLP_HIDDEN;
extern int      DecreaseSearch(dbl *alpmin, int *Ntest, dbl Err0) MLP_HIDDEN;
extern void     MLP_ResLin() MLP_HIDDEN;
extern void     MLP_Line(dbl ***w0, dbl alpha) MLP_HIDDEN;
extern int      LineSearchHyb(dbl *alpmin, int *Ntest) MLP_HIDDEN;
extern void     MLP_LineHyb(dbl ***w0, dbl alpha) MLP_HIDDEN;
extern int      StochStepHyb() MLP_HIDDEN;
extern int      FixedStep(dbl alpha) MLP_HIDDEN;

extern void     EtaDecay() MLP_HIDDEN;
extern int      ShuffleExamples(int n, int *index) MLP_HIDDEN;
extern double   MLP_Rand(dbl min, dbl max) MLP_HIDDEN;
extern void     InitWeights() MLP_HIDDEN;
extern int      NormalizeInputs() MLP_HIDDEN;
extern int      MLP_StatInputs(int Nexamples, int Ninputs, type_pat **inputs, 
                dbl *mean, dbl *sigma, dbl *minimum, dbl *maximum) MLP_HIDDEN;  
extern int      MLP_PrintInputStat() MLP_HIDDEN;

extern int      LoadWeights(char *filename, int *iepoch) MLP_HIDDEN;
extern int      SaveWeights(char *filename, int iepoch) MLP_HIDDEN;

extern void     SetLambda(double Wmax) MLP_HIDDEN;
extern void     PrintWeights() MLP_HIDDEN;
extern int      ReadPatterns(char *filename, int ifile, 
                     int *inet, int *ilearn, int *iexamples) MLP_HIDDEN;
extern int      CountLexemes(char *string) MLP_HIDDEN;
extern void     getnLexemes(int n, char *s, char **ss) MLP_HIDDEN;
extern void     getLexemes(char *s,char **ss) MLP_HIDDEN;
extern int      LearnAlloc() MLP_HIDDEN;
extern void     LearnFree() MLP_HIDDEN;
extern int      MLP_PrFFun(char *filename) MLP_HIDDEN;
extern int      MLP_PrCFun(char *filename) MLP_HIDDEN;
extern int      AllocPatterns(int ifile, int npat, int nin, int nout, int iadd) MLP_HIDDEN;
extern int      FreePatterns(int ifile) MLP_HIDDEN;
extern void     AllocWeights() MLP_HIDDEN;
extern void     FreeWeights() MLP_HIDDEN;
extern int      AllocNetwork(int Nlayer, int *Neurons) MLP_HIDDEN;
extern void     FreeNetwork() MLP_HIDDEN;
extern int      GetNetStructure(char *s, int *Nlayer, int *Nneur) MLP_HIDDEN;
extern int      MLP_SetNet(int *nl, int *nn) MLP_HIDDEN;

extern void     MLP_MM2rows(dbl* c, type_pat* a, dbl* b,
                int Ni, int Nj, int Nk, int NaOffs, int NbOffs) MLP_HIDDEN;
extern void     MLP_MatrixVector(dbl *M, type_pat *v, dbl *r, int n, 
                                int m) MLP_HIDDEN;
extern void     MLP_MatrixVectorBias(dbl *M, dbl *v, dbl *r, int n,
                                 int m) MLP_HIDDEN;

#ifdef __cplusplus
} // extern "C"
#endif

#endif // __private_mlp_gen_h