Hi, Ted, 2) if I uncomment the inner loop, over I, and comment out ' prpca.reset(new
regressionPCA(x,y));', that loop runs to completion. Thus, we can exclude bg from having any role in this core dump. It must be something in either gsl or boost::shared_array, or maybe boost::shared_ptr (but the core dump happens too soon to be in shared_ptr's reset, unless the output to std::cout is buffered and contents of the buffer are lost in the core dump before they can be printed, but this is unlikely).
It sounds like you haven't looked at the core file. You don't have to wonder where it is crashing if it produces a core file. That's what they are for. Cheers, Will On Sun, Mar 25, 2012 at 12:00 PM, Ted Byers <r.ted.byers@gmail.com> wrote:
Hi Sven,****
** **
Thanks for this. ****
** **
** **
Second, in my first post, the problem was due to some unpleasant behaviour of Gnu make I wasn't aware of that resulting in a certain object file not being remade even though the source for it had changed (actually, I don't know if it is in make itself or a bug in my suite of make files - something to be investigated further - doing make realclean followed by make solved that). My current problem is something else, probably due to how memory is handled either in GSL or in boost::shared_array, but maybe something more subtle.****
** **
I had left the comments in place to show alternatives I had tried. It is no surprise that compiling would fail if they were uncommented.****
** **
I have now changed regressionPCA back to the way I had intended it to be in the first place.****
** **
Here is the header:****
** **
#ifndef REG_CLASS_H****
#define REG_CLASS_H****
** **
#include <iosfwd>****
#include <vector>****
#include <gsl/gsl_linalg.h>****
#include <boost/smart_ptr/shared_array.hpp>****
** **
class regressionPCA {****
private:****
unsigned int nrows, ncols;****
boost::shared_array<double> B, Y, U, V, S;****
regressionPCA(void) {}; // makes default construction impossible****
public:****
regressionPCA(const std::vector<std::vector<double> >&, const std::vector<double>&);****
void Reset(const std::vector<std::vector<double> >&, const std::vector<double>&);****
inline void setNrows(unsigned int v) { nrows = v;};****
inline void setNcols(unsigned int v) { ncols = v;};****
inline unsigned int getNrows(void) const { return nrows; };****
inline unsigned int getNcols(void) const { return ncols; };****
};****
** **
#endif****
** **
And here is the implementation:****
** **
#include "reg.class.h"****
** **
#include <iostream>****
#include <algorithm>****
#include <gsl/gsl_linalg.h>****
** **
regressionPCA::regressionPCA(const std::vector<std::vector<double> >&data, ****
const std::vector<double>& Ydata) {****
Reset(data,Ydata);****
}****
** **
void regressionPCA::Reset(const std::vector<std::vector<double> >&data, ** **
const std::vector<double>& Ydata) {****
unsigned int r(0),c(0),n(0);****
std::cout << "r: " << r << "\tc: " << c << "\tn: " << n << std::endl;*** *
r = data.size();****
std::cout << "r: " << r << "\tc: " << c << "\tn: " << n << std::endl;*** *
c = data[0].size();****
std::cout << "r: " << r << "\tc: " << c << "\tn: " << n << std::endl;*** *
setNrows(r);****
setNcols(c);****
n = r * c;****
std::cout << "r: " << r << "\tc: " << c << "\tn: " << n << std::endl;*** *
B.reset(new double[c]);****
Y.reset(new double[r]); ****
U.reset(new double[n]);****
V.reset(new double[c*c]);****
S.reset(new double[c]);****
double* Btmp = B.get();****
double* Ytmp = Y.get();****
double* Utmp = U.get();****
double* Vtmp = V.get();****
double* Stmp = S.get();****
double *bptr = Utmp;****
std::vector<std::vector<double> >::const_iterator it = data.begin(), end = data.end();****
while (it != end) {****
bptr = std::copy(it->begin(), it->end(),bptr);****
++it;****
}****
bptr = Ytmp;****
std::copy(Ydata.begin(),Ydata.end(),bptr);****
gsl_matrix_view Um = gsl_matrix_view_array(Utmp, getNrows(), getNcols()); ****
gsl_vector_view Ym = gsl_vector_view_array(Ytmp, getNrows());****
gsl_vector_view Bm = gsl_vector_view_array(Btmp, getNcols());****
gsl_vector_view Sm = gsl_vector_view_array(Stmp, getNcols());****
gsl_matrix_view Vm = gsl_matrix_view_array(Vtmp, getNcols(), getNcols()); ****
gsl_linalg_SV_decomp_jacobi(&Um.matrix,&Vm.matrix,&Sm.vector);****
gsl_linalg_SV_solve(&Um.matrix,&Vm.matrix,&Sm.vector,&Ym.vector,&Bm.vector); ****
std::cout << std::endl << std::endl << "Sv = " << gsl_vector_get(&Sm.vector,0) << "\t" << gsl_vector_get(&Sm.vector,1) << std::endl;****
std::cout << std::endl << std::endl << "V = " << std::endl;****
std::cout << "\t" << gsl_matrix_get(&Vm.matrix,0,0) << "\t" << gsl_matrix_get(&Vm.matrix,0,1) << std::endl;****
std::cout << "\t" << gsl_matrix_get(&Vm.matrix,1,0) << "\t" << gsl_matrix_get(&Vm.matrix,1,1) << std::endl;****
std::cout << std::endl << std::endl << "Beta = " << gsl_vector_get(&Bm.vector,0) << "\t" << gsl_vector_get(&Bm.vector,1) << std::endl;****
};****
** **
Obviously a work in progress as I need to create data members to store the result of the analysis, and member functions to pass the results back to the calling code. I also need to get and analyse the residuals….****
** **
Here is function main:****
** **
#include <iostream>****
#include <vector>****
#include "data.generator.h"****
#include "reg.class.h"****
#include <boost/smart_ptr/shared_ptr.hpp>****
** **
int main(int argc, char* argv[]) {****
basicGenerator bg;****
std::cout << "Sample size: " << bg.get_sampleSize() << std::endl;****
bg.makeData();****
std::vector<std::vector<double> > x;****
std::vector<double> y;****
bg.getDataForRegression(x,y);****
unsigned int imax = y.size();****
for (unsigned int i = 0 ; i < imax ; i++) {****
std::cout << i << "\t" << y[i] << "\t" << x[i][0] << "\t" << x[i][1] << std::endl;****
}****
std::cout << "==================================================================" << std::endl;****
regressionPCA rpca(x,y);****
std::cout << "==================================================================" << std::endl;****
boost::shared_ptr<regressionPCA> prpca;****
for (unsigned int j = 0 ; j < 25 ; j++) {****
std::cout << std::endl << std::endl << "Run #: " << (j + 1) << std::endl;****
bg.makeData();****
bg.getDataForRegression(x,y);****
/* for (unsigned int i = 0 ; i < imax ; i++) {****
std::cout << i << "\t" << y[i] << "\t" << x[i][0] << "\t" << x[i][1] << std::endl;****
}*/****
prpca.reset(new regressionPCA(x,y));****
std::cout << "==================================================================" << std::endl;****
}****
return 0;****
}****
** **
The following output shows that cleaning up the declaration and definition has not changed anything:****
** **
94 -1.86323 -1.90867 -1.35118****
95 0.907604 1.14917 0.621669****
96 2.1166 1.06194 1.1703****
97 0.159543 0.14446 -0.665135****
98 -0.508617 -0.370597 -0.703225****
99 2.69086 2.75267 1.40633****
==================================================================****
r: 0 c: 0 n: 0****
r: 100 c: 0 n: 0****
r: 100 c: 2 n: 0****
r: 100 c: 2 n: 200****
** **
Sv = 18.3225 4.69155****
** **
V =****
0.695362 -0.718659****
0.718659 0.695362****
** **
Beta = 0.693195 0.627794****
==================================================================****
Run #: 1****
r: 0 c: 0 n: 0****
r: 100 c: 0 n: 0****
r: 100 c: 2 n: 0****
r: 100 c: 2 n: 200****
** **
Sv = 14.1699 10.7091****
** **
V =****
0.49497 -0.86891****
0.86891 0.49497****
** **
Beta = 0.476181 0.391545****
==================================================================****
** **
Run #: 2****
r: 0 c: 0 n: 0****
r: 100 c: 0 n: 0****
r: 100 c: 2 n: 0****
r: 100 c: 2 n: 200****
** **
Sv = 18.3225 4.69155****
** **
V =****
0.695362 -0.718659****
0.718659 0.695362****
** **
Beta = 0.693195 0.627794****
Aborted (core dumped)****
** **
Ted@Ted-acer-i7w7 ~/New.System/tests****
$****
** **
There are a couple things I see.****
** **
1) the last statement successfully executed was the last statement of my Reset function. It then returns to function main, and it's nect statement produces the line of '+' symbols, and this is not successfully executed. So, something bad is happening between the end of the function and the return to function main.****
2) if I uncomment the inner loop, over I, and comment out ' prpca.reset(new regressionPCA(x,y));', that loop runs to completion. Thus, we can exclude bg from having any role in this core dump. It must be something in either gsl or boost::shared_array, or maybe boost::shared_ptr (but the core dump happens too soon to be in shared_ptr's reset, unless the output to std::cout is buffered and contents of the buffer are lost in the core dump before they can be printed, but this is unlikely).****
3) It must be something subtle, as I get one execution of the analysis done in Reset, as shown in the first analysis reported by 'rpca', and then I get two complete passes through my loop over j before it crashes. I am baffled as to even how I determine whether it is something I have done wrong with GSL or with boost::shared_array.****
** **
But here is an experiment I tried, let's see what you make of this. I changed my main loop to use:****
** **
rpca.Reset(x,y);****
** **
instead of ****
** **
prpca.reset(new regressionPCA(x,y));****
** **
That is, I used the object I'd made on the stack, instead of the one(s) made on the heap. I then added " std::cout << "Flag 1" << std::endl << std::flush;" right after I invoked boost::shared_array's reset, and " std::cout << "Flag 2" << std::endl << std::flush;" right after I copy new data to these arrays. Here is the result:****
** **
98 -0.508617 -0.370597 -0.703225****
99 2.69086 2.75267 1.40633****
==================================================================****
r: 0 c: 0 n: 0****
r: 100 c: 0 n: 0****
r: 100 c: 2 n: 0****
r: 100 c: 2 n: 200****
Flag 1****
Flag 2****
** **
** **
Sv = 18.3225 4.69155****
** **
** **
V =****
0.695362 -0.718659****
0.718659 0.695362****
** **
** **
Beta = 0.693195 0.627794****
==================================================================****
** **
** **
Run #: 1****
r: 0 c: 0 n: 0****
r: 100 c: 0 n: 0****
r: 100 c: 2 n: 0****
r: 100 c: 2 n: 200****
Flag 1****
Flag 2****
** **
** **
Sv = 14.1699 10.7091****
** **
** **
V =****
0.49497 -0.86891****
0.86891 0.49497****
** **
** **
Beta = 0.476181 0.391545****
==================================================================****
** **
** **
Run #: 2****
r: 0 c: 0 n: 0****
r: 100 c: 0 n: 0****
r: 100 c: 2 n: 0****
r: 100 c: 2 n: 200****
0 [main] test.pca.reg.gsl 7888 exception::handle: Error while dumping state (probably corrupted stack)****
Segmentation fault (core dumped)****
** **
Ted@Ted-acer-i7w7 ~/New.System/tests****
$****
** **
** **
Do you notice the change?****
** **
Instead of finishing the second analysis in the loop, it crashes after I print the dimensions of the input matrix and vector, at some point in resetting one of the boost::shared_array objects. How do I determine whether this is a bug in boost::shared_array or some bad interaction between boost::shared_array and GSL?****
** **
** **
Cheers****
** **
Ted****
** **
*From:* boost-users-bounces@lists.boost.org [mailto: boost-users-bounces@lists.boost.org] *On Behalf Of *Sven Steckmann *Sent:* March-25-12 4:13 AM *To:* boost-users@lists.boost.org *Subject:* Re: [Boost-users] Mystery exception.****
** **
Hi Ted,
****
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