strange segfault using yepCore dot products

[Stephen Tu]

Hi,

I'm trying to use yeppp dot products and getting a weird segfault. Here's the relevant code snippet. notice I just did something really simple

(gdb) list

50

52      double foobar = 0.;

53      double a[] = {0, 1, 2, 3, 4};

54      double b[] = {0, 1, 2, 3, 4};

55      YepStatus stat = yepCore_DotProduct_V64fV64f_S64f(&a[0], &b[0], &foobar, 2);

56      if (stat != YepStatusOk) {

57        std::cout << "nogood" << std::endl;

58      } else {

59        std::cout << "worked" << std::endl;

and what I'm getting is:

Program received signal SIGSEGV, Segmentation fault.

0x0000000000000000 in ?? ()

(gdb) bt

#0  0x0000000000000000 in ?? ()

#1  0x00007fffdc748d0b in lagrange_and_grad_L_fast (vvec=<optimized out>, jvec=<optimized out>, ivec=<optimized out>, measurements=<optimized out>, sigma=<optimized out>, 

    y=<optimized out>, Lflat=<optimized out>, acc=<optimized out>, r=<optimized out>, n=<optimized out>, m=<optimized out>) at include/sputnik/kernels.hpp:55

#2  __pyx_pf_7sputnik_7nucleus_8_kernels_lagrange_and_grad_L_fast (__pyx_self=<optimized out>, __pyx_v_vvec=<optimized out>, __pyx_v_jvec=<optimized out>, 

    __pyx_v_ivec=<optimized out>, __pyx_v_measurements=<optimized out>, __pyx_v_sigma=<optimized out>, __pyx_v_y=<optimized out>, __pyx_v_Lflat=<optimized out>, 

    __pyx_v_acc=<optimized out>, __pyx_v_r=<optimized out>, __pyx_v_n=<optimized out>, __pyx_v_m=<optimized out>) at sputnik/nucleus/_kernels.cpp:1391

#3  __pyx_pw_7sputnik_7nucleus_8_kernels_1lagrange_and_grad_L_fast (__pyx_self=0x7fffffffd7d0, __pyx_args=0x1683240, __pyx_kwds=0x4c) at sputnik/nucleus/_kernels.cpp:1289

#4  0x00007ffff7af0fa4 in call_function (oparg=<optimized out>, pp_stack=0x7fffffffdbf8) at Python/ceval.c:4033

#5  PyEval_EvalFrameEx (f=<optimized out>, throwflag=<optimized out>) at Python/ceval.c:2679

#6  0x00007ffff7af2b1e in PyEval_EvalCodeEx (co=0x7fffe79cf9b0, globals=<optimized out>, locals=<optimized out>, args=<optimized out>, argcount=3, kws=0x1591dd0, kwcount=2, 

    defs=0x7fffe1577380, defcount=4, closure=0x0) at Python/ceval.c:3265

#7  0x00007ffff7af0cd2 in fast_function (nk=<optimized out>, na=3, n=<optimized out>, pp_stack=0x7fffffffddf8, func=0x7fffdc9570c8) at Python/ceval.c:4129

#8  call_function (oparg=<optimized out>, pp_stack=0x7fffffffddf8) at Python/ceval.c:4054

#9  PyEval_EvalFrameEx (f=<optimized out>, throwflag=<optimized out>) at Python/ceval.c:2679

#10 0x00007ffff7af1a1e in fast_function (nk=<optimized out>, na=<optimized out>, n=<optimized out>, pp_stack=0x7fffffffdf48, func=0x7fffdc95fa28) at Python/ceval.c:4119

#11 call_function (oparg=<optimized out>, pp_stack=0x7fffffffdf48) at Python/ceval.c:4054

#12 PyEval_EvalFrameEx (f=<optimized out>, throwflag=<optimized out>) at Python/ceval.c:2679

#13 0x00007ffff7af2b1e in PyEval_EvalCodeEx (co=0x7ffff7e952b0, globals=<optimized out>, locals=<optimized out>, args=<optimized out>, argcount=0, kws=0x0, kwcount=0, defs=0x0, 

    defcount=0, closure=0x0) at Python/ceval.c:3265

#14 0x00007ffff7af2c32 in PyEval_EvalCode (co=<optimized out>, globals=<optimized out>, locals=<optimized out>) at Python/ceval.c:673

#15 0x00007ffff7b129f0 in run_mod (arena=0x65c640, flags=0x7fffffffe240, locals=0x7ffff7f56168, globals=0x7ffff7f56168, filename=<optimized out>, mod=0x6b8010)

    at Python/pythonrun.c:1377

#16 PyRun_FileExFlags (fp=0x6a10b0, filename=<optimized out>, start=<optimized out>, globals=0x7ffff7f56168, locals=0x7ffff7f56168, closeit=1, flags=0x7fffffffe240)

    at Python/pythonrun.c:1363

#17 0x00007ffff7b12bcf in PyRun_SimpleFileExFlags (fp=0x6a10b0, filename=0x7fffffffe617 "reconstruct.py", closeit=1, flags=0x7fffffffe240) at Python/pythonrun.c:955

#18 0x00007ffff7b28394 in Py_Main (argc=<optimized out>, argv=<optimized out>) at Modules/main.c:645

#19 0x00007ffff7053040 in __libc_start_main () from /usr/lib/libc.so.6

#20 0x0000000000400649 in _start ()

(gdb) f 1

#1  0x00007fffdc748d0b in lagrange_and_grad_L_fast (vvec=<optimized out>, jvec=<optimized out>, ivec=<optimized out>, measurements=<optimized out>, sigma=<optimized out>, 

    y=<optimized out>, Lflat=<optimized out>, acc=<optimized out>, r=<optimized out>, n=<optimized out>, m=<optimized out>) at include/sputnik/kernels.hpp:55

55      YepStatus stat = yepCore_DotProduct_V64fV64f_S64f(&a[0], &b[0], &foobar, 2);

(gdb) p a

$1 = {0, 1, 2, 3, 4}

(gdb) p b

$2 = {0, 1, 2, 3, 4}

(gdb) p foobar

$3 = 0

(gdb) p &a[0]

I'm using the latest version of Yeppp on linux x86_64. Note that I am able to run the example program "Entropy.c" just fine. Any tips for debugging? The usual backtrace in gdb doesn't seem to be helping here. 

Thanks!

[Marat Dukhan]

Hi Stephen,

Thank you for trying Yeppp!

I think the crash is because your code did not initialize the library.

You need to call yepLibrary_Init before using other Yeppp! functions.

This answer on StackOverflow provides more details.

Regards,

Marat

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[Stephen Tu]

Hi Marat,

Thanks this did the trick! Sorry I didn't see this earlier.