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Remove tools folder

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This commit is contained in:
Ted Fujimoto 2014-11-25 21:27:50 -05:00
parent c29a600d46
commit c356a0acc2
2 changed files with 0 additions and 272 deletions
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25
tools/Makefile
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@ -1,25 +0,0 @@
export CC = gcc
export CXX = g++
export CFLAGS = -Wall -O3 -msse2 -Wno-unknown-pragmas -fopenmp
# specify tensor path
BIN = xgcombine_buffer
OBJ =
.PHONY: clean all
all: $(BIN) $(OBJ)
export LDFLAGS= -pthread -lm
xgcombine_buffer : xgcombine_buffer.cpp
$(BIN) :
$(CXX) $(CFLAGS) $(LDFLAGS) -o $@ $(filter %.cpp %.o %.c, $^)
$(OBJ) :
$(CXX) -c $(CFLAGS) -o $@ $(firstword $(filter %.cpp %.c, $^) )
install:
cp -f -r $(BIN) $(INSTALL_PATH)
clean:
$(RM) $(OBJ) $(BIN) *~

247
tools/xgcombine_buffer.cpp
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/*!
* a tool to combine different set of features into binary buffer
* not well organized code, but does it's job
* \author Tianqi Chen: tianqi.tchen@gmail.com
*/
#define _CRT_SECURE_NO_WARNINGS
#define _CRT_SECURE_NO_DEPRECATE
#include <cstdio>
#include <cstring>
#include <ctime>
#include <cmath>
#include "../src/io/simple_dmatrix-inl.hpp"
#include "../src/utils/utils.h"
using namespace xgboost;
using namespace xgboost::io;
// header in dataset
struct Header{
FILE *fi;
int tmp_num;
int base;
int num_feat;
// whether it's dense format
bool is_dense;
bool warned;
Header( void ){ this->warned = false; this->is_dense = false; }
inline void CheckBase( unsigned findex ){
if( findex >= (unsigned)num_feat && ! warned ) {
fprintf( stderr, "warning:some feature exceed bound, num_feat=%d\n", num_feat );
warned = true;
}
}
};
inline int norm( std::vector<Header> &vec, int base = 0 ){
int n = base;
for( size_t i = 0; i < vec.size(); i ++ ){
if( vec[i].is_dense ) vec[i].num_feat = 1;
vec[i].base = n; n += vec[i].num_feat;
}
return n;
}
inline void vclose( std::vector<Header> &vec ){
for( size_t i = 0; i < vec.size(); i ++ ){
fclose( vec[i].fi );
}
}
inline int readnum( std::vector<Header> &vec ){
int n = 0;
for( size_t i = 0; i < vec.size(); i ++ ){
if( !vec[i].is_dense ){
utils::Assert( fscanf( vec[i].fi, "%d", &vec[i].tmp_num ) == 1, "load num" );
n += vec[i].tmp_num;
}else{
n ++;
}
}
return n;
}
inline void vskip( std::vector<Header> &vec ){
for( size_t i = 0; i < vec.size(); i ++ ){
if( !vec[i].is_dense ){
utils::Assert( fscanf( vec[i].fi, "%*d%*[^\n]\n" ) >= 0, "sparse" );
}else{
utils::Assert( fscanf( vec[i].fi, "%*f\n" ) >= 0, "dense" );
}
}
}
class DataLoader: public DMatrixSimple {
public:
// whether to do node and edge feature renormalization
int rescale;
int linelimit;
public:
FILE *fp, *fwlist, *fgroup, *fweight;
std::vector<Header> fheader;
DataLoader( void ){
rescale = 0;
linelimit = -1;
fp = NULL; fwlist = NULL; fgroup = NULL; fweight = NULL;
}
private:
inline void Load( std::vector<SparseBatch::Entry> &feats, std::vector<Header> &vec ){
SparseBatch::Entry e;
for( size_t i = 0; i < vec.size(); i ++ ){
if( !vec[i].is_dense ) {
for( int j = 0; j < vec[i].tmp_num; j ++ ){
utils::Assert( fscanf ( vec[i].fi, "%u:%f", &e.findex, &e.fvalue ) == 2, "Error when load feat" );
vec[i].CheckBase( e.findex );
e.findex += vec[i].base;
feats.push_back(e);
}
}else{
utils::Assert( fscanf ( vec[i].fi, "%f", &e.fvalue ) == 1, "load feat" );
e.findex = vec[i].base;
feats.push_back(e);
}
}
}
inline void DoRescale( std::vector<SparseBatch::Entry> &vec ){
double sum = 0.0;
for( size_t i = 0; i < vec.size(); i ++ ){
sum += vec[i].fvalue * vec[i].fvalue;
}
sum = sqrt( sum );
for( size_t i = 0; i < vec.size(); i ++ ){
vec[i].fvalue /= sum;
}
}
public:
// basically we are loading all the data inside
inline void Load( void ){
this->Clear();
float label, weight = 0.0f;
unsigned ngleft = 0, ngacc = 0;
if( fgroup != NULL ){
info.group_ptr.clear();
info.group_ptr.push_back(0);
}
while( fscanf( fp, "%f", &label ) == 1 ){
if( ngleft == 0 && fgroup != NULL ){
utils::Assert( fscanf( fgroup, "%u", &ngleft ) == 1, "group" );
}
if( fweight != NULL ){
utils::Assert( fscanf( fweight, "%f", &weight ) == 1, "weight" );
}
ngleft -= 1; ngacc += 1;
int pass = 1;
if( fwlist != NULL ){
utils::Assert( fscanf( fwlist, "%u", &pass ) ==1, "pass" );
}
if( pass == 0 ){
vskip( fheader ); ngacc -= 1;
}else{
const int nfeat = readnum( fheader );
std::vector<SparseBatch::Entry> feats;
// pairs
this->Load( feats, fheader );
utils::Assert( feats.size() == (unsigned)nfeat, "nfeat" );
if( rescale != 0 ) this->DoRescale( feats );
// push back data :)
this->info.labels.push_back( label );
// push back weight if any
if( fweight != NULL ){
this->info.weights.push_back( weight );
}
this->AddRow( feats );
}
if( ngleft == 0 && fgroup != NULL && ngacc != 0 ){
info.group_ptr.push_back( info.group_ptr.back() + ngacc );
utils::Assert( info.group_ptr.back() == info.num_row, "group size must match num rows" );
ngacc = 0;
}
// linelimit
if( linelimit >= 0 ) {
if( -- linelimit <= 0 ) break;
}
}
if( ngleft == 0 && fgroup != NULL && ngacc != 0 ){
info.group_ptr.push_back( info.group_ptr.back() + ngacc );
utils::Assert( info.group_ptr.back() == info.num_row, "group size must match num rows" );
}
}
};
const char *folder = "features";
int main( int argc, char *argv[] ){
if( argc < 3 ){
printf("Usage:xgcombine_buffer <inname> <outname> [options] -f [features] -fd [densefeatures]\n" \
"options: -rescale -linelimit -fgroup <groupfilename> -wlist <whitelistinstance>\n");
return 0;
}
DataLoader loader;
time_t start = time( NULL );
int mode = 0;
for( int i = 3; i < argc; i ++ ){
if( !strcmp( argv[i], "-f") ){
mode = 0; continue;
}
if( !strcmp( argv[i], "-fd") ){
mode = 2; continue;
}
if( !strcmp( argv[i], "-rescale") ){
loader.rescale = 1; continue;
}
if( !strcmp( argv[i], "-wlist") ){
loader.fwlist = utils::FopenCheck( argv[ ++i ], "r" ); continue;
}
if( !strcmp( argv[i], "-fgroup") ){
loader.fgroup = utils::FopenCheck( argv[ ++i ], "r" ); continue;
}
if( !strcmp( argv[i], "-fweight") ){
loader.fweight = utils::FopenCheck( argv[ ++i ], "r" ); continue;
}
if( !strcmp( argv[i], "-linelimit") ){
loader.linelimit = atoi( argv[ ++i ] ); continue;
}
char name[ 256 ];
sprintf( name, "%s/%s.%s", folder, argv[1], argv[i] );
Header h;
h.fi = utils::FopenCheck( name, "r" );
if( mode == 2 ){
h.is_dense = true; h.num_feat = 1;
loader.fheader.push_back( h );
}else{
utils::Assert( fscanf( h.fi, "%d", &h.num_feat ) == 1, "num feat" );
switch( mode ){
case 0: loader.fheader.push_back( h ); break;
default: ;
}
}
}
loader.fp = utils::FopenCheck( argv[1], "r" );
printf("num_features=%d\n", norm( loader.fheader ) );
printf("start creating buffer...\n");
loader.Load();
loader.SaveBinary( argv[2] );
// close files
fclose( loader.fp );
if( loader.fwlist != NULL ) fclose( loader.fwlist );
if( loader.fgroup != NULL ) fclose( loader.fgroup );
vclose( loader.fheader );
printf("all generation end, %lu sec used\n", (unsigned long)(time(NULL) - start) );
return 0;
}