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#include <mpi.h>
#include <sys/time.h>
#include <iostream>
#include <functional>
#include <algorithm>
#include <vector>
#include <sstream>
#include "CombBLAS/CombBLAS.h"
using namespace std;
using namespace combblas;
int main(int argc, char* argv[])
{
int nprocs, myrank;
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD,&nprocs);
MPI_Comm_rank(MPI_COMM_WORLD,&myrank);
if(argc < 4)
{
if(myrank == 0)
{
cout << "Usage: ./ReadWriteMtx <InputMTX> <OutputBinary> <0|1> <permute>" << endl;
cout << "<InputMTX> can have reverse edges missing or with different values, but the reader will choose the edge with maximum value when that happens (common in dna/protein sequence search)" << endl;
cout << "<OutputBinary> is just the name of the output after such incompatibilities in MTX file are removed and all bidirectional edges now have the same value" << endl;
cout << "<0|1>: zero or one indexed (for inputs)" << endl;
cout << "<permute> randomly permute the matrix (default: 0 - meaning false)" << endl;
}
MPI_Finalize();
return -1;
}
{
string Aname(argv[1]);
string Bname(argv[2]);
bool permute = 0;
bool index = static_cast<bool>(atoi(argv[3]));
if(myrank ==0)
{
cout << "Reading file " << Aname << " that is " << index << " indexed" << endl;
}
if(argc == 5)
{
permute = static_cast<bool>(atoi(argv[4]));
if(myrank == 0)
{
if(permute)
cout << "Randomly permuting" << endl;
}
}
SpParMat<int64_t, double, SpDCCols<int64_t,double>> A;
A.ParallelReadMM(Aname, index, maximum<double>());
if(permute)
{
FullyDistVec<int64_t,int64_t> perm; // get a different permutation
perm.iota(A.getnrow(), 0);
perm.RandPerm();
A(perm, perm, true); // in-place permute to save memory
}
A.PrintInfo();
A.ParallelBinaryWrite(Bname);
if(myrank == 0)
{
cout << "Now, reading the file back again in binary format..." << endl;
}
SpParMat<int64_t, double, SpDCCols<int64_t,double>> B;
B.ReadDistribute (Bname, 0, false, true);
B.PrintInfo();
}
MPI_Finalize();
return 0;
}
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