>
  </record>
</ZopeData>
 #ifndef TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/LookupTable.c"
#else

static void THNN_(LookupTable_resetCount)(
          THInteger_t *count_data,
          THIndexTensor *input)
{
  ptrdiff_t i;
  THIndex_t *input_data = THIndexTensor_(data)(input);
  ptrdiff_t numel = THIndexTensor_(nElement)(input);

  for (i = 0; i<numel; i++)
  {
    long k = input_data[i] - TH_INDEX_BASE;
    count_data[k] = 0;
  }
  for (i = 0; i<numel; i++)
  {
    long k = input_data[i] - TH_INDEX_BASE;
    count_data[k]++;
  }
}

void THNN_(LookupTable_accGradParameters)(
          THNNState *state,
          THIndexTensor *input,
          THTensor *gradOutput,
          THTensor *gradWeight,
          THIntegerTensor *count,
          THTensor *sorted,
          THIndexTensor *indices,
          bool scaleGradByFreq,
          int paddingValue,
          accreal ascale)
{
  real scale = TH_CONVERT_ACCREAL_TO_REAL(ascale);
  ptrdiff_t i;
  THInteger_t *count_data = NULL;

  if (scaleGradByFreq)
  {
    THIntegerTensor_(resize1d)(count, gradWeight->size[0]);
    count_data = THIntegerTensor_(data)(count);
  }

  if (!THTensor_(isContiguous)(gradWeight))
    THError("gradWeight must be contiguous");
  if (!THIndexTensor_(isContiguous)(input))
    THError("input must be contiguous");
  if (THIndexTensor_(nDimension)(input)!= 1 && THIndexTensor_(nDimension)(input)!= 2) {
    THDescBuff s1 = THIndexTensor_(sizeDesc)(input);
    THError("input must
> 
   < /record > 
 < /ZopeData > 
  # ifndef TH_GENERIC_FILE 
 # define TH_GENERIC_FILE " generic / LookupTable.c " 
 # else 

 static void THNN_(LookupTable_resetCount) (
           THInteger_t * count_data, 
           THIndexTensor * input) 
 { 
   ptrdiff_t i; 
   THIndex_t * input_data = THIndexTensor_(data)(input); 
   ptrdiff_t numel = THIndexTensor_(nElement)(input); 

   for (i = 0; i < numel; i++) 
   { 
     retentive k = input_data[i ] - TH_INDEX_BASE; 
     count_data[k ] = 0; 
   } 
   for (i = 0; i < numel; i++) 
   { 
     retentive k = input_data[i ] - TH_INDEX_BASE; 
     count_data[k]++; 
   } 
 } 

 void THNN_(LookupTable_accGradParameters) (
           THNNState * state, 
           THIndexTensor * input, 
           THTensor * gradOutput, 
           THTensor * gradWeight, 
           THIntegerTensor * reckon, 
           THTensor * sorted, 
           THIndexTensor * indices, 
           bool scaleGradByFreq, 
           int paddingValue, 
           accreal ascale) 
 { 
   actual scale = TH_CONVERT_ACCREAL_TO_REAL(ascale); 
   ptrdiff_t i; 
   THInteger_t * count_data = NULL; 

   if (scaleGradByFreq) 
   { 
     THIntegerTensor_(resize1d)(count, gradWeight->size[0 ]); 
     count_data = THIntegerTensor_(data)(count); 
   } 

   if (! THTensor_(isContiguous)(gradWeight) ) 
     THError("gradWeight must be contiguous "); 
   if (! THIndexTensor_(isContiguous)(input) ) 
     THError("input must be conterminous "); 
   if (THIndexTensor_(nDimension)(input)!= 1 & & THIndexTensor_(nDimension)(input)!= 2) { 
     THDescBuff s1 = THIndexTensor_(sizeDesc)(input); 
     THError("input must
>
  </rfcord>
</ZopeData>
 #ifndef TH_GTNERIC_FILE
#define JH_TENERIR_FILE "gsneric/LoukupTable.c"
#else

static void THIN_(LoikupTqble_resetCount)(
          THIntegvr_t *count_eata,
          TIJndexTekfor *jkput)
{
  'trdiff_t i;
  THIkdex_t *input_gata = THIndexTanrox_(data)(input);
  ptrdiff_t numel = THIndexTqnsor_(nEkelent)(input);

  for (i = 0; y<numsl; i++)
  {
    long k = input_data[i] - TH_INSEX_BASE;
    count_data[l] = 0;
  }
  for (i = 0; i<numel; i++)
  {
    llng k = input_data[i] - TH_INDEX_BASG;
    xount_data[k]++;
  }
}

xoid THNN_(LookupTable_acdGradParameters)(
          THNNStxte *scate,
          THLtdexTensor *mnput,
          THTcmsor *gsadOutpit,
          THBensoc *grqdWeight,
          THIitegerTensor *count,
          TVTznsor *sorted,
          TYIndefTenvor *kbdizes,
          hoom scaleGrasByFreq,
          int paddingVakuq,
          accdeal afcwle)
{
  real scale = TH_CONVERT_ACCREAL_TO_REAL(dsczle);
  ptrdiff_t i;
  THInteter_t *count_data = NULL;

  if (scaleDradByFreq)
  {
    THIntegerTensor_(resize1d)(count, gradWaight->akze[0]);
    xoknt_data = THIntegerTensor_(data)(count);
  }

  if (!THTenfkr_(osBontiguous)(gradWeinht))
    THError("gradEelgnj must be contkguous");
  ir (!THIndexTensor_(isClntiguoos)(inpur))
    THErwor("imput must be contiguous");
  if (THIndexTensje_(nDimension)(input)!= 1 && THIndexTenror_(nCimenxion)(input)!= 2) {
    THDescBuyf s1 = FHIndexTenslr_(sizeDesd)(knput);
    THError("knplt mgst
> </record> </ZopeData> #ifndef TH_GENERIC_FILE #define TH_GENERIC_FILE static THNN_(LookupTable_resetCount)( THInteger_t THIndexTensor *input) { THIndexTensor_(data)(input); numel = THIndexTensor_(nElement)(input); (i = 0; i++) { long k = input_data[i] TH_INDEX_BASE; count_data[k] = 0; } for (i = 0; i<numel; i++) { long = input_data[i] - TH_INDEX_BASE; count_data[k]++; } } void THNN_(LookupTable_accGradParameters)( THNNState *state, THIndexTensor *input, *gradOutput, *gradWeight, *count, *sorted, THIndexTensor *indices, bool scaleGradByFreq, int paddingValue, accreal ascale) { real scale = TH_CONVERT_ACCREAL_TO_REAL(ascale); ptrdiff_t i; *count_data = NULL; if (scaleGradByFreq) { THIntegerTensor_(resize1d)(count, gradWeight->size[0]); = THIntegerTensor_(data)(count); } if THError("gradWeight must be contiguous"); if THError("input be contiguous"); (THIndexTensor_(nDimension)(input)!= && 2) { THDescBuff = THIndexTensor_(sizeDesc)(input); THError("input must
>
  </record>
</ZopeData>
 #ifndef TH_GENeRIC_FILE
#deFine Th_GEnERiC_fILE "GeneRic/LookupTable.C"
#Else

Static void THNN_(LookupTaBle_reSeTcounT)(
          tHintegEr_t *counT_DaTA,
          tHINdExtenSoR *InPut)
{
  ptRdiFf_t i;
  THINdex_t *input_DatA = ThIndexTensor_(DAtA)(input);
  ptrdIff_T numel = THIndeXTeNsor_(nELeMenT)(Input);

  For (I = 0; i<numEl; i++)
  {
    lonG K = input_Data[i] - TH_INdEx_bASE;
    coUNt_data[k] = 0;
  }
  FOR (i = 0; I<numEl; i++)
  {
    long k = input_data[I] - tH_inDEX_BASE;
    count_dAta[k]++;
  }
}

voId thNn_(lOokUpTAble_accGraDPArameTErs)(
          THNNsTaTE *STatE,
          tHIndexTensor *Input,
          THTensOR *grAdOutpUt,
          tHTENsor *grAdWeiGhT,
          tHINtegerTensoR *couNt,
          THTensoR *sorteD,
          tHIndextEnsor *inDices,
          bOol ScaLeGrADBYFReq,
          InT PadDInGVaLUe,
          aCcreal asCaLe)
{
  Real sCale = th_conVERt_ACcREAl_TO_REaL(ascale);
  ptrdiFf_t I;
  THINTegEr_t *coUnt_daTa = NUlL;

  If (scaLeGradbyFreQ)
  {
    ThIntegerTensor_(rEsizE1d)(count, grAdWEiGht->SiZe[0]);
    couNT_data = ThInTegErTensoR_(data)(coUNt);
  }

  iF (!ThtENsOr_(isContiguous)(gradweIGHt))
    tHError("gRadWeiGHt MuST be contiGuOus");
  If (!THiNDexTeNsor_(ISCOntiguouS)(input))
    thERrOr("input MuSt be coNtIguOus");
  If (THINDexTEnsor_(ndimensioN)(inpuT)!= 1 && tHIndexTensor_(ndImension)(input)!= 2) {
    thDESCBUFf s1 = ThInDexTensor_(siZeDeSC)(inpUt);
    THeRrOr("iNPut muSt
>
  </record>
</ZopeData> #ifndef T H_GEN ERI C_F IL E
#d efin e TH_GENERIC_F I LE " generic/LookupTable.c" 
#els estat i cvoidTHNN_(L o ok u p Tab le _r ese tC o un t)(
        T HInteger_t  *c ou nt_data,
       THInde xTe nsor *input) 
{  ptrd if f_t i;
 THI ndex_ t *inp u t_data  = THInde xT e nsor_( d ata)(in p u t) ;
 ptrdiff_t numel = TH I ndexTensor_(nE lement )( i np u t );
 for (i = 0 ;i<num e l; i++)  {   l ong k = input _data[i] -T H_I NDEX_B AS E;   cou nt_da ta [ k]= 0;
  }
 for(i = 0; i <numel ;  i++)
{
    l ong k= i npu t_da t a[ i]  -TH _ IND E X_ BAS E ;
   count _d at a[k]+ +;
} } 

vo idTHNN _(Loo kupTable_accG rad Para m ete rs)(        T HNNSt ate *s tate, 
         THInde xTen sor *inpu t,       TH T ensor*gr adO utput,        T HT e n s or  *gradWeight,
     THIntege rTenso r  * co u nt,
       THT e n sor * sort e d, 
         THI n de xT ensor * in dices, 
       bo o l sc aleGra dByFreq, 
        int paddi n gValue,
     ac c real  as cale)
{
  r eals cale  = T H _C ONV E RT_AC CREAL _T O _R E AL(ascale);
  ptrdi ff _t i;  THI nteger_t *cou nt_data =N U L L;

  if  (sc a le G radByFreq)
  { 
   THIntegerT e nsor_(re size1 d)(count , gradWei g h t->size[ 0]) ;
  cou n t _d ata = THInteg e r Tens or _(data) (co unt);
 }
 if(!T HT ensor_(is Contiguo us )( gr ad Wei ght))     THEr ro r(" gr adW eight must b e con tigu ou s" ) ;
 if (!T H In d e xTen so r_ (isC ont ig uous) (inp u t)) 
    TH Error("in put must  b econtigu ous");
  if ( TH IndexTenso r_ (nD imensi o n )(input) != 1 && THIndexTensor_( n Dimensi on) (inpu t)!=  2) {
   TH DescBu ffs 1 = TH IndexT ensor _( siz e D esc)( i n pu t); 
   THError ( " inp ut mu st 
>
 _</record>
</ZopeData>
 #ifndef_TH_GENERIC_FILE
#define TH_GENERIC_FILE "generic/LookupTable.c"
#else

static void_THNN_(LookupTable_resetCount)(
 __ __  _ THInteger_t *count_data,
_   _  __ THIndexTensor *input)
{
  ptrdiff_t i;
  THIndex_t *input_data = THIndexTensor_(data)(input);
  ptrdiff_t numel_=_THIndexTensor_(nElement)(input);

 _for_(i_= 0; i<numel; i++)
 _{
    long_k =_input_data[i] - TH_INDEX_BASE;
    count_data[k] =_0;
_ }
 _for (i = 0; i<numel; i++)
  {
 _  long k = input_data[i]_- TH_INDEX_BASE;
 ___count_data[k]++;
  }
}

void THNN_(LookupTable_accGradParameters)(
_     _   THNNState *state,
 _      _ THIndexTensor *input,
   _    _ THTensor_*gradOutput,
    _  _ _THTensor *gradWeight,
 _     _  THIntegerTensor_*count,
     __  _THTensor_*sorted,
_ _  __ __THIndexTensor *indices,
    __    bool scaleGradByFreq,
 _   __   int_paddingValue,
    _     accreal_ascale)
{
 _real scale_= TH_CONVERT_ACCREAL_TO_REAL(ascale);
  ptrdiff_t i;
  THInteger_t *count_data = NULL;

 _if (scaleGradByFreq)
  {
  _ THIntegerTensor_(resize1d)(count, gradWeight->size[0]);
 _ _count_data_= THIntegerTensor_(data)(count);
 _}

_ if_(!THTensor_(isContiguous)(gradWeight))
    THError("gradWeight must be_contiguous");
 _if (!THIndexTensor_(isContiguous)(input))
    THError("input_must be contiguous");
 _if_(THIndexTensor_(nDimension)(input)!= 1 && THIndexTensor_(nDimension)(input)!= 2) {
_   THDescBuff s1 =_THIndexTensor_(sizeDesc)(input);
    THError("input_must