mirror of https://github.com/tongzx/nt5src
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
304 lines
6.2 KiB
304 lines
6.2 KiB
//+-------------------------------------------------------------------------
|
|
//
|
|
// Microsoft Windows
|
|
//
|
|
// Copyright (C) Microsoft Corporation, 1997 - 1999
|
|
//
|
|
// File: bndist.cpp
|
|
//
|
|
//--------------------------------------------------------------------------
|
|
|
|
//
|
|
// BNDIST.CPP
|
|
//
|
|
|
|
#include <basetsd.h>
|
|
#include <iostream>
|
|
#include <fstream>
|
|
|
|
#include "symtmbn.h"
|
|
|
|
LEAK_VAR_DEF(BNDIST)
|
|
|
|
static void dumpVimd ( const VIMD & vimd )
|
|
{
|
|
for ( int i = 0 ; i < vimd.size(); i++ )
|
|
{
|
|
cout << vimd[i];
|
|
if ( i + 1 < vimd.size() )
|
|
cout << ",";
|
|
}
|
|
}
|
|
|
|
static void dumpVlr ( const VLREAL & vlr )
|
|
{
|
|
for ( int i = 0 ; i < vlr.size(); i++ )
|
|
{
|
|
cout << vlr[i];
|
|
if ( i + 1 < vlr.size() )
|
|
cout << ",";
|
|
}
|
|
}
|
|
|
|
static void dumpSlice ( const MDVSLICE & mslice, bool bStrides = true)
|
|
{
|
|
VIMD vimdLengths = mslice.size();
|
|
VIMD vimdStrides = mslice.stride();
|
|
size_t iStart = mslice.start();
|
|
|
|
cout << "\nslice start="
|
|
<< (UINT) iStart
|
|
<< "\tlengths=";
|
|
dumpVimd( vimdLengths );
|
|
if ( bStrides )
|
|
{
|
|
cout << "\tstrides=" ;
|
|
dumpVimd( vimdStrides );
|
|
}
|
|
cout << "\ttotlen="
|
|
<< (UINT) mslice._Totlen();
|
|
}
|
|
|
|
static void dumpMdv ( MDVCPD & mdv, const MDVSLICE * pslice = NULL )
|
|
{
|
|
if ( pslice == NULL )
|
|
pslice = & mdv.Slice();
|
|
dumpSlice( *pslice );
|
|
MDVCPD::Iterator itmd(mdv, *pslice );
|
|
while (itmd.BNext())
|
|
{
|
|
size_t icurr = itmd.ICurr();
|
|
cout << "\n";
|
|
dumpVimd( itmd.Vitmd() );
|
|
REAL & r = itmd.Next();
|
|
cout << "\t["
|
|
<< (UINT) icurr
|
|
<< "] = "
|
|
<< r ;
|
|
}
|
|
cout << "\n";
|
|
}
|
|
|
|
BNDIST :: BNDIST ()
|
|
:_edist(ED_NONE),
|
|
_pmdvcpd(NULL),
|
|
_mpcpdd(NULL)
|
|
{
|
|
LEAK_VAR_UPD(1)
|
|
}
|
|
|
|
BNDIST :: ~ BNDIST ()
|
|
{
|
|
Clear();
|
|
LEAK_VAR_UPD(-1)
|
|
}
|
|
|
|
void BNDIST :: NoRef ()
|
|
{
|
|
delete this;
|
|
}
|
|
|
|
BNDIST & BNDIST :: operator = ( const BNDIST & bnd )
|
|
{
|
|
Clear();
|
|
switch ( _edist = bnd._edist )
|
|
{
|
|
default:
|
|
case ED_NONE:
|
|
break;
|
|
case ED_DENSE:
|
|
_pmdvcpd = new MDVCPD( bnd.Mdvcpd() );
|
|
assert( _pmdvcpd->first.size() == bnd.Mdvcpd().first.size() );
|
|
break;
|
|
case ED_CI_MAX:
|
|
case ED_CI_PLUS:
|
|
case ED_SPARSE:
|
|
_mpcpdd = new MPCPDD( bnd.Mpcpdd() ) ;
|
|
assert( _mpcpdd->size() == bnd.Mpcpdd().size() );
|
|
break;
|
|
}
|
|
return self;
|
|
}
|
|
|
|
BNDIST :: BNDIST ( const BNDIST & bnd )
|
|
:_edist(ED_NONE),
|
|
_pmdvcpd(NULL),
|
|
_mpcpdd(NULL)
|
|
{
|
|
(*this) = bnd;
|
|
|
|
LEAK_VAR_UPD(1)
|
|
}
|
|
|
|
bool BNDIST :: BChangeSubtype ( EDIST edist )
|
|
{
|
|
if ( BDenseType(edist) ^ BDense() )
|
|
return false;
|
|
_edist = edist;
|
|
return true;
|
|
}
|
|
|
|
void BNDIST :: Dump ()
|
|
{
|
|
if ( _pmdvcpd )
|
|
{
|
|
cout << "\n\tDense version:";
|
|
DumpDense();
|
|
}
|
|
if ( _mpcpdd )
|
|
{
|
|
cout << "\n\tSparse version:";
|
|
DumpSparse();
|
|
}
|
|
cout << "\n\n";
|
|
}
|
|
|
|
void BNDIST :: DumpSparse ()
|
|
{
|
|
assert( _mpcpdd );
|
|
MPCPDD & dmap = *_mpcpdd;
|
|
int i = 0;
|
|
for ( MPCPDD::iterator itdm = dmap.begin();
|
|
itdm != dmap.end();
|
|
++itdm, ++i )
|
|
{
|
|
const VIMD & vimd = (*itdm).first;
|
|
const VLREAL & vlr = (*itdm).second;
|
|
cout << "\n["
|
|
<< i
|
|
<< "] (";
|
|
dumpVimd(vimd);
|
|
cout << ")\t";
|
|
dumpVlr(vlr);
|
|
}
|
|
}
|
|
|
|
void BNDIST :: DumpDense ()
|
|
{
|
|
assert( _pmdvcpd );
|
|
dumpMdv( *_pmdvcpd );
|
|
}
|
|
|
|
void BNDIST :: ConvertToDense ( const VIMD & vimd )
|
|
{
|
|
assert( _edist == ED_NONE || _edist == ED_SPARSE );
|
|
|
|
if ( _edist == ED_NONE )
|
|
{
|
|
assert( ! _mpcpdd );
|
|
return;
|
|
}
|
|
// See if there is a sparse distribution to convert
|
|
if ( ! _mpcpdd )
|
|
throw GMException( EC_DIST_MISUSE, "no prior sparse distribution to convert" );
|
|
|
|
int cParent = vimd.size() - 1;
|
|
int cState = vimd[cParent];
|
|
MPCPDD & dmap = *_mpcpdd;
|
|
VIMD vimdMt; // Empty subscript array
|
|
VLREAL vlrDefault(cState); // Default value array
|
|
|
|
// First, try to find the default entry; use -1 if not found
|
|
MPCPDD::iterator itdm = dmap.find(vimdMt);
|
|
if ( itdm != dmap.end() )
|
|
vlrDefault = (*itdm).second;
|
|
else
|
|
vlrDefault = -1; // fill the array with -1.
|
|
|
|
assert( vlrDefault.size() == cState );
|
|
|
|
// Allocate the new dense m-d array
|
|
delete _pmdvcpd;
|
|
_pmdvcpd = new MDVCPD( vimd );
|
|
MDVCPD & mdv = *_pmdvcpd;
|
|
// Fill each DPI with the appropriate default value
|
|
MDVCPD::Iterator itmdv(mdv);
|
|
for ( int iState = 0; itmdv.BNext() ; iState++ )
|
|
{
|
|
itmdv.Next() = vlrDefault[ iState % cState ];
|
|
}
|
|
|
|
//
|
|
// Now, iterate over the sparse array and store in the appropriate locations.
|
|
// Each entry in the sparse map is a complete state set for the target node.
|
|
// Since the child (target) node probabilities are the fastest varying subscript,
|
|
// each entry in sparse map is spread across "cState" entries in the dense map.
|
|
//
|
|
// Of course, this could be more efficient, but we're just testing for now.
|
|
//
|
|
VIMD vimdDense(vimd.size());
|
|
for ( itdm = dmap.begin(); itdm != dmap.end() ; ++itdm )
|
|
{
|
|
const VIMD & vimdSub = (*itdm).first;
|
|
VLREAL & vlrNext = (*itdm).second;
|
|
for ( int ip = 0 ; ip < cParent; ip++ )
|
|
{
|
|
vimdDense[ip] = vimdSub[ip];
|
|
}
|
|
for ( int ist = 0 ; ist < cState; ++ist )
|
|
{
|
|
vimdDense[cParent] = ist;
|
|
mdv[vimdDense] = vlrNext[ist];
|
|
}
|
|
}
|
|
|
|
// Finally, nuke the old sparse distribution
|
|
delete _mpcpdd;
|
|
_mpcpdd = NULL;
|
|
// Set distribution type
|
|
_edist = ED_DENSE;
|
|
}
|
|
|
|
// Set distribution to "dense"
|
|
void BNDIST :: SetDense ( const VIMD & vimd )
|
|
{
|
|
Clear();
|
|
_vimdDim = vimd;
|
|
_pmdvcpd = new MDVCPD( vimd );
|
|
_edist = ED_DENSE;
|
|
}
|
|
|
|
// Set distribution to sparse
|
|
void BNDIST :: SetSparse ( const VIMD & vimd )
|
|
{
|
|
Clear();
|
|
_vimdDim = vimd;
|
|
_mpcpdd = new MPCPDD;
|
|
_edist = ED_SPARSE;
|
|
}
|
|
|
|
// Return the "leak" or "default" vector from a sparse distribution
|
|
const VLREAL * BNDIST :: PVlrLeak () const
|
|
{
|
|
assert( BSparse() );
|
|
const MPCPDD & dmap = Mpcpdd();
|
|
const VIMD & vimdDim = VimdDim();
|
|
VIMD vimdLeak;
|
|
|
|
// First try to find the dimensionless "default" vector.
|
|
const VLREAL * pvlrDefault = dmap.PVlrDefault();
|
|
|
|
// Now try to find a specific zeroth vector; note that valarray<T>::resize
|
|
// stores all zeroes into the valarray by default. Also, skip the
|
|
// loweest dimension, since that's the size of each vector in the
|
|
// sparse map.
|
|
vimdLeak.resize( vimdDim.size() - 1 );
|
|
VLREAL * pvlrLeak = NULL;
|
|
//MPCPDD::iterator itdm = dmap.find( vimdLeak );
|
|
MPCPDD::const_iterator itdm = dmap.find( vimdLeak );
|
|
if ( itdm != dmap.end() )
|
|
//pvlrLeak = & (*itdm).second;
|
|
pvlrLeak = (VLREAL*)& (*itdm).second;
|
|
|
|
return pvlrLeak
|
|
? pvlrLeak
|
|
: pvlrDefault;
|
|
}
|
|
|
|
void BNDIST :: Clone ( const BNDIST & bndist )
|
|
{
|
|
ASSERT_THROW( _edist == ED_NONE,
|
|
EC_INVALID_CLONE,
|
|
"cannot clone into non-empty structure" );
|
|
self = bndist;
|
|
}
|