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authorAlan Mishchenko <alanmi@berkeley.edu>2021-05-25 23:12:30 -0700
committerAlan Mishchenko <alanmi@berkeley.edu>2021-05-25 23:12:30 -0700
commit49078ffebf4d87165c625a0dad249e039adeb952 (patch)
treeff2b5819de9016b213ab078ad9b3e4e6e0a8db5c /src/aig/gia/giaMinLut.c
parentd35b05859c44015661d36aaaa2926e0dd5f3e4dc (diff)
downloadabc-49078ffebf4d87165c625a0dad249e039adeb952.tar.gz
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Updating LUT synthesis code.
Diffstat (limited to 'src/aig/gia/giaMinLut.c')
-rw-r--r--src/aig/gia/giaMinLut.c198
1 files changed, 167 insertions, 31 deletions
diff --git a/src/aig/gia/giaMinLut.c b/src/aig/gia/giaMinLut.c
index 082ad900..442c6d66 100644
--- a/src/aig/gia/giaMinLut.c
+++ b/src/aig/gia/giaMinLut.c
@@ -91,13 +91,94 @@ void Vec_WrdReadText( char * pFileName, Vec_Wrd_t ** pvSimI, Vec_Wrd_t ** pvSimO
*pvSimO = vSimO;
printf( "Read %d words of simulation data for %d inputs and %d outputs (padded %d zero-patterns).\n", nWords, nIns, nOuts, nWords*64-nLines );
}
-void Gia_ManSimInfoTransform( char * pFileName, char * pFileOut1, char * pFileOut2, int nIns, int nOuts )
+int Vec_WrdReadText2( char * pFileName, Vec_Wrd_t ** pvSimI )
{
- Vec_Wrd_t * vSimI, * vSimO;
- Vec_WrdReadText( pFileName, &vSimI, &vSimO, nIns, nOuts );
- Vec_WrdDumpBin( pFileOut1 ? pFileOut1 : Extra_FileNameGenericAppend(pFileName, ".simi"), vSimI, 1 );
- Vec_WrdDumpBin( pFileOut2 ? pFileOut2 : Extra_FileNameGenericAppend(pFileName, ".simo"), vSimO, 1 );
+ int i, nSize, iLine, nLines, nWords, nIns;
+ char pLine[1000];
+ Vec_Wrd_t * vSimI;
+ FILE * pFile = fopen( pFileName, "rb" );
+ if ( pFile == NULL )
+ {
+ printf( "Cannot open file \"%s\" for reading.\n", pFileName );
+ return 0;
+ }
+ fgets( pLine, 1000, pFile );
+ nIns = strlen(pLine)-1;
+ if ( nIns < 1 )
+ {
+ printf( "Cannot find the number of inputs in file \"%s\".\n", pFileName );
+ fclose( pFile );
+ return 0;
+ }
+ fseek( pFile, 0, SEEK_END );
+ nSize = ftell( pFile );
+ if ( nSize % (nIns + 1) > 0 )
+ {
+ printf( "Cannot read file with simulation data that is not aligned at 8 bytes (remainder = %d).\n", nSize % (nIns + 1) );
+ fclose( pFile );
+ return 0;
+ }
+ rewind( pFile );
+ nLines = nSize / (nIns + 1);
+ nWords = (nLines + 63)/64;
+ vSimI = Vec_WrdStart( nIns *nWords );
+ for ( iLine = 0; fgets( pLine, 1000, pFile ); iLine++ )
+ {
+ for ( i = 0; i < nIns; i++ )
+ if ( pLine[nIns-1-i] == '1' )
+ Abc_TtXorBit( Vec_WrdArray(vSimI) + i*nWords, iLine );
+ else assert( pLine[nIns-1-i] == '0' );
+ }
+ fclose( pFile );
+ *pvSimI = vSimI;
+ printf( "Read %d words of simulation data for %d inputs (padded to 64-bit boundary with %d zero-patterns).\n", nWords, nIns, nWords*64-nLines );
+ return nIns;
+}
+Vec_Int_t * Vec_WrdReadNumsOut( char * pFileName, int fVerbose )
+{
+ char pLine[1000];
+ Vec_Int_t * vNums; int iLine;
+ FILE * pFile = fopen( pFileName, "rb" );
+ if ( pFile == NULL )
+ {
+ printf( "Cannot open file \"%s\" for reading.\n", pFileName );
+ return NULL;
+ }
+ vNums = Vec_IntAlloc( 1000 );
+ for ( iLine = 0; fgets( pLine, 1000, pFile ); iLine++ )
+ Vec_IntPush( vNums, atoi(pLine) );
+ fclose( pFile );
+ if ( fVerbose )
+ printf( "Finished reading %d output values from file \"%s\".\n", Vec_IntSize(vNums), pFileName );
+ return vNums;
+}
+Vec_Wrd_t * Vec_WrdReadTextOut( char * pFileName, int nOuts )
+{
+ int i, iLine, nLines, nWords;
+ Vec_Wrd_t * vSimO;
+ Vec_Int_t * vNums = Vec_WrdReadNumsOut( pFileName, 1 );
+ if ( vNums == NULL )
+ return NULL;
+ nLines = Vec_IntSize(vNums);
+ nWords = (nLines + 63)/64;
+ vSimO = Vec_WrdStart( nOuts*nWords );
+ Vec_IntForEachEntry( vNums, i, iLine )
+ Abc_TtXorBit( Vec_WrdArray(vSimO) + i*nWords, iLine );
+ Vec_IntFree( vNums );
+ printf( "Read %d words of simulation data for %d outputs (padded %d zero-patterns).\n", nWords, nOuts, nWords*64-nLines );
+ return vSimO;
+}
+void Gia_ManReadSimInfoInputs( char * pFileName, char * pFileOut1, int fVerbose )
+{
+ Vec_Wrd_t * vSimI;
+ Vec_WrdReadText2( pFileName, &vSimI );
+ Vec_WrdDumpBin( pFileOut1, vSimI, fVerbose );
Vec_WrdFree( vSimI );
+}
+void Gia_ManReadSimInfoOutputs( char * pFileName, char * pFileOut, int nOuts )
+{
+ Vec_Wrd_t * vSimO = Vec_WrdReadTextOut( pFileName, nOuts );
+ Vec_WrdDumpBin( pFileOut, vSimO, 1 );
Vec_WrdFree( vSimO );
}
@@ -201,6 +282,49 @@ int Gia_ManSimEvalOne2( Gia_Man_t * p, Vec_Wrd_t * vSimO, Vec_Wrd_t * vSimO_new
ABC_FREE( pSim0 );
return Count;
}
+int Gia_ManSimEvalMaxValue( Vec_Wrd_t * vSimO, int nWords, int nOuts, int nBits, int iPat )
+{
+ int o, ValueMax = -1, OutMax = -1;
+ for ( o = 0; o < nOuts; o++ )
+ {
+ int i, Value = 0;
+ for ( i = 0; i < nBits; i++ )
+ {
+ word * pSim = Vec_WrdEntryP( vSimO, (o*nBits+i) * nWords );
+ if ( Abc_TtGetBit(pSim, iPat) )
+ Value |= 1 << i;
+ }
+ if ( ValueMax <= Value )
+ {
+ ValueMax = Value;
+ OutMax = o;
+ }
+ }
+ return OutMax;
+}
+int Gia_ManSimEvalOne3( Gia_Man_t * p, Vec_Wrd_t * vSimO, Vec_Int_t * vValues, int nBits )
+{
+ int i, Value, nOuts = Gia_ManCoNum(p) / nBits;
+ int First = -1, Count = 0, nWords = Vec_WrdSize(vSimO) / Gia_ManCoNum(p);
+ assert( Gia_ManCoNum(p) % nBits == 0 );
+ assert( 64*(nWords-1) < Vec_IntSize(vValues) && Vec_IntSize(vValues) <= 64*nWords );
+ Vec_IntForEachEntry( vValues, Value, i )
+ if ( Value == Gia_ManSimEvalMaxValue(vSimO, nWords, nOuts, nBits, i) )
+ {
+ Count++;
+ if ( First == -1 )
+ First = i;
+ }
+ printf( "The accuracy is %8.4f %% (%d out of %d output are correct, for example, output number %d).\n",
+ 100.0*Count/Vec_IntSize(vValues), Count, Vec_IntSize(vValues), First );
+ if ( 0 )
+ {
+ FILE * pTable = fopen( "stats.txt", "a+" );
+ fprintf( pTable, "%0.2f \n", 100.0*Count/Vec_IntSize(vValues) );
+ fclose( pTable );
+ }
+ return Count;
+}
Vec_Wrd_t * Gia_ManSimInfoTry( Gia_Man_t * p, Vec_Wrd_t * vSimI )
{
int nWords = Vec_WrdSize(vSimI) / Gia_ManCiNum(p);
@@ -218,7 +342,7 @@ Vec_Wrd_t * Gia_ManSimInfoTry( Gia_Man_t * p, Vec_Wrd_t * vSimI )
}
return vSimO_new;
}
-int Gia_ManSimInfoEval( Gia_Man_t * p, Vec_Wrd_t * vSimO, Vec_Wrd_t * vSimO_new )
+int Gia_ManSimInfoEval_old( Gia_Man_t * p, Vec_Wrd_t * vSimO, Vec_Wrd_t * vSimO_new )
{
int nResult = Gia_ManSimEvalOne2(p, vSimO, vSimO_new);
//Vec_WrdDumpBin( "temp.simo", vSimO_new, 1 );
@@ -226,29 +350,33 @@ int Gia_ManSimInfoEval( Gia_Man_t * p, Vec_Wrd_t * vSimO, Vec_Wrd_t * vSimO_new
printf( "Density of output patterns %8.4f.\n", (float)Abc_TtCountOnesVec(Vec_WrdArray(vSimO_new), Vec_WrdSize(vSimO_new))/(64*Vec_WrdSize(vSimO_new)) );
return nResult;
}
-void Gia_ManSimInfoPassTest( Gia_Man_t * p, char * pFileName, char * pFileName2, int fCompare )
+void Gia_ManSimInfoPassTest( Gia_Man_t * p, char * pFileName, char * pFileName2, int fVerbose )
{
abctime clk = Abc_Clock();
- if ( fCompare )
- {
- Vec_Wrd_t * vSim1 = Vec_WrdReadBin( pFileName, 1 );
- Vec_Wrd_t * vSim2 = Vec_WrdReadBin( pFileName2, 1 );
- printf( "Density of input patterns %8.4f.\n", (float)Abc_TtCountOnesVec(Vec_WrdArray(vSim1), Vec_WrdSize(vSim1))/(64*Vec_WrdSize(vSim1)) );
- printf( "Density of output patterns %8.4f.\n", (float)Abc_TtCountOnesVec(Vec_WrdArray(vSim2), Vec_WrdSize(vSim2))/(64*Vec_WrdSize(vSim2)) );
- Gia_ManSimInfoEval( p, vSim1, vSim2 );
- Vec_WrdFree( vSim1 );
- Vec_WrdFree( vSim2 );
- }
- else
- {
- Vec_Wrd_t * vSimI = Vec_WrdReadBin( pFileName, 1 );
- Vec_Wrd_t * vSimO = Gia_ManSimInfoTry( p, vSimI );
- printf( "Density of input patterns %8.4f.\n", (float)Abc_TtCountOnesVec(Vec_WrdArray(vSimI), Vec_WrdSize(vSimI))/(64*Vec_WrdSize(vSimI)) );
- printf( "Density of output patterns %8.4f.\n", (float)Abc_TtCountOnesVec(Vec_WrdArray(vSimO), Vec_WrdSize(vSimO))/(64*Vec_WrdSize(vSimO)) );
- Vec_WrdDumpBin( pFileName2, vSimO, 1 );
- Vec_WrdFree( vSimI );
- Vec_WrdFree( vSimO );
- }
+ Vec_Wrd_t * vSimI = Vec_WrdReadBin( pFileName, fVerbose );
+ Vec_Wrd_t * vSimO = Gia_ManSimInfoTry( p, vSimI );
+ if ( fVerbose )
+ printf( "Density of input patterns %8.4f.\n", (float)Abc_TtCountOnesVec(Vec_WrdArray(vSimI), Vec_WrdSize(vSimI))/(64*Vec_WrdSize(vSimI)) );
+ if ( fVerbose )
+ printf( "Density of output patterns %8.4f.\n", (float)Abc_TtCountOnesVec(Vec_WrdArray(vSimO), Vec_WrdSize(vSimO))/(64*Vec_WrdSize(vSimO)) );
+ Vec_WrdDumpBin( pFileName2, vSimO, fVerbose );
+ Vec_WrdFree( vSimI );
+ Vec_WrdFree( vSimO );
+ if ( fVerbose )
+ Abc_PrintTime( 1, "Time", Abc_Clock() - clk );
+}
+void Gia_ManSimInfoEval( Gia_Man_t * p, char * pFileName, char * pFileName2, int nOuts, int fVerbose )
+{
+ abctime clk = Abc_Clock();
+ Vec_Wrd_t * vSim1 = Vec_WrdReadBin( pFileName, fVerbose );
+ Vec_Int_t * vNums = Vec_WrdReadNumsOut( pFileName2, fVerbose );
+ assert( nOuts > 0 );
+ if ( fVerbose )
+ printf( "Density of input patterns %8.4f.\n", (float)Abc_TtCountOnesVec(Vec_WrdArray(vSim1), Vec_WrdSize(vSim1))/(64*Vec_WrdSize(vSim1)) );
+ Gia_ManSimEvalOne3( p, vSim1, vNums, nOuts );
+ Vec_WrdFree( vSim1 );
+ Vec_IntFree( vNums );
+ if ( fVerbose )
Abc_PrintTime( 1, "Time", Abc_Clock() - clk );
}
@@ -326,18 +454,19 @@ Vec_Int_t * Gia_ManCollectSupp( Gia_Man_t * p, int iOut, int nOuts )
}
Gia_Man_t * Gia_ManPerformLNetOpt( Gia_Man_t * p, char * pFileName, int nIns, int nOuts, int Thresh, int fVerbose )
{
+ abctime clk = Abc_Clock();
extern int Kit_TruthToGia2( Gia_Man_t * p, unsigned * pTruth0, unsigned * pTruth1, int nVars, Vec_Int_t * vMemory, Vec_Int_t * vLeaves, int fHash );
Gia_Man_t * pNew; Gia_Obj_t * pObj;
Vec_Int_t * vMemory = Vec_IntAlloc( 1 << 18 );
Vec_Int_t * vLeaves = Vec_IntAlloc( nIns );
- Vec_Wrd_t * vSimI = pFileName ? Vec_WrdReadBin( pFileName, 1 ) : NULL;
+ Vec_Wrd_t * vSimI = pFileName ? Vec_WrdReadBin( pFileName, fVerbose ) : NULL;
word * pTruth0 = ABC_CALLOC( word, Abc_Truth6WordNum(nIns) );
word * pTruth1 = ABC_CALLOC( word, Abc_Truth6WordNum(nIns) ); int g, k; float CareAve = 0;
- if ( vSimI )
+ if ( vSimI && fVerbose )
{
int nPats = 64*Vec_WrdSize(vSimI)/Gia_ManCiNum(p);
printf( "Density of input patterns %8.4f.\n", (float)Abc_TtCountOnesVec(Vec_WrdArray(vSimI), Vec_WrdSize(vSimI))/(64*Vec_WrdSize(vSimI)) );
- printf( "Using patterns with count %d and higher as cares (%8.4f %% of all patterns).\n", Thresh, 100.0*Thresh/nPats );
+ printf( "Using patterns with count %d and higher as cares.\n", Thresh );
}
Gia_ManFillValue( p );
pNew = Gia_ManStart( Gia_ManObjNum(p) );
@@ -378,7 +507,6 @@ Gia_Man_t * Gia_ManPerformLNetOpt( Gia_Man_t * p, char * pFileName, int nIns, in
Temp = 0;
}
CareAve /= Gia_ManCoNum(p)/nOuts;
- printf( "Average size of the care set = %8.4f %%.\n", CareAve );
Gia_ManHashStop( pNew );
Gia_ManForEachCo( p, pObj, k )
pObj->Value = Gia_ManAppendCo( pNew, pObj->Value );
@@ -389,6 +517,14 @@ Gia_Man_t * Gia_ManPerformLNetOpt( Gia_Man_t * p, char * pFileName, int nIns, in
Vec_IntFree( vMemory );
Vec_WrdFreeP( &vSimI );
Gia_ManSetRegNum( pNew, Gia_ManRegNum(p) );
+ printf( "Using patterns with count %d and higher as cares. Average care set is %8.4f %%. ", Thresh, CareAve );
+ Abc_PrintTime( 1, "Time", Abc_Clock() - clk );
+ if ( 0 )
+ {
+ FILE * pTable = fopen( "stats.txt", "a+" );
+ fprintf( pTable, "%0.2f ", CareAve );
+ fclose( pTable );
+ }
return pNew;
}