Training on large dataset (2392012 values) got this error
inferno@hmstr:~/Soft/ocr/neurowords$ gdb /usr/bin/python3.5 core
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Reading symbols from /usr/bin/python3.5...(no debugging symbols found)...done.
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[Thread debugging using libthread_db enabled]
Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".
Core was generated by `python3.5 -i 01-learning-lenet_mmvb.py'.
Program terminated with signal SIGABRT, Aborted.
#0 0x00007f332dc42267 in __GI_raise (sig=sig@entry=6) at ../sysdeps/unix/sysv/linux/raise.c:55
55 ../sysdeps/unix/sysv/linux/raise.c: Нет такого файла или каталога.
[Current thread is 1 (Thread 0x7f332e423700 (LWP 12749))]
(gdb) bt
#0 0x00007f332dc42267 in __GI_raise (sig=sig@entry=6) at ../sysdeps/unix/sysv/linux/raise.c:55
#1 0x00007f332dc43eca in __GI_abort () at abort.c:89
#2 0x00007f332dc85bf3 in __libc_message (do_abort=do_abort@entry=1, fmt=fmt@entry=0x7f332dd9e168 "*** Error in `%s': %s: 0x%s ***\n")
at ../sysdeps/posix/libc_fatal.c:175
#3 0x00007f332dc8dc09 in malloc_printerr (ptr=<optimized out>, str=0x7f332dd9e298 "double free or corruption (!prev)", action=1) at malloc.c:4965
#4 _int_free (av=<optimized out>, p=<optimized out>, have_lock=0) at malloc.c:3834
#5 0x00007f332dc9183c in __GI___libc_free (mem=<optimized out>) at malloc.c:2950
#6 0x00007f331e4c7157 in caffe::SyncedMemory::to_gpu() () from /home/inferno/.dev/caffe-cl/caffe/lib/libcaffe.so.1.0.0-rc3
#7 0x00007f331e4c18e9 in caffe::SyncedMemory::gpu_data() () from /home/inferno/.dev/caffe-cl/caffe/lib/libcaffe.so.1.0.0-rc3
#8 0x00007f331e5e7d52 in caffe::Blob<float>::gpu_data() const () from /home/inferno/.dev/caffe-cl/caffe/lib/libcaffe.so.1.0.0-rc3
#9 0x00007f331e4ab14d in caffe::Net<float>::ForwardFromTo(int, int) () from /home/inferno/.dev/caffe-cl/caffe/lib/libcaffe.so.1.0.0-rc3
#10 0x00007f331e4ab476 in caffe::Net<float>::Forward(float*) () from /home/inferno/.dev/caffe-cl/caffe/lib/libcaffe.so.1.0.0-rc3
#11 0x00007f331e67c190 in caffe::Solver<float>::Step(int) () from /home/inferno/.dev/caffe-cl/caffe/lib/libcaffe.so.1.0.0-rc3
#12 0x00007f331ead01b1 in caffe::Step_NoGIL(caffe::Solver<float>&, int) () from /home/inferno/Soft/ocr/neurowords/caffe/_caffe.so
#13 0x00007f331eaecb08 in boost::python::objects::caller_py_function_impl<boost::python::detail::caller<float (*)(caffe::Solver<float>&, int), boost::python::default_call_policies, boost::mpl::vector3<float, caffe::Solver<float>&, int> > >::operator()(_object*, _object*) () from /home/inferno/Soft/ocr/neurowords/caffe/_caffe.so
#14 0x00007f331dac6d7d in boost::python::objects::function::call(_object*, _object*) const () from /usr/lib/x86_64-linux-gnu/libboost_python-py35.so.1.58.0
#15 0x00007f331dac6f68 in ?? () from /usr/lib/x86_64-linux-gnu/libboost_python-py35.so.1.58.0
#16 0x00007f331dacefb3 in boost::python::detail::exception_handler::operator()(boost::function0<void> const&) const ()
from /usr/lib/x86_64-linux-gnu/libboost_python-py35.so.1.58.0
#17 0x00007f331eae4658 in boost::detail::function::function_obj_invoker2<boost::_bi::bind_t<bool, boost::python::detail::translate_exception<std::exception, void (*)(std::exception)>, boost::_bi::list3<boost::arg<1>, boost::arg<2>, boost::_bi::value<void (*)(std::exception)> > >, bool, boost::python::detail::exception_handler const&, boost::function0<void> const&>::invoke(boost::detail::function::function_buffer&, boost::python::detail::exception_handler const&, boost::function0<void> const&)
() from /home/inferno/Soft/ocr/neurowords/caffe/_caffe.so
#18 0x00007f331daced6d in boost::python::handle_exception_impl(boost::function0<void>) () from /usr/lib/x86_64-linux-gnu/libboost_python-py35.so.1.58.0
#19 0x00007f331dac4189 in ?? () from /usr/lib/x86_64-linux-gnu/libboost_python-py35.so.1.58.0
#20 0x00000000005ad28e in PyObject_Call ()
#21 0x0000000000520ba1 in PyEval_EvalFrameEx ()
#22 0x0000000000552648 in ?? ()
#23 0x00000000005faf1f in PyEval_EvalCode ()
#24 0x00000000005f56a2 in ?? ()
#25 0x00000000005f730a in PyRun_FileExFlags ()
#26 0x00000000005f7f6c in PyRun_SimpleFileExFlags ()
#27 0x000000000062b512 in Py_Main ()
#28 0x00000000004cbe6f in main ()
Training on large dataset (2392012 values) got this error
train.prototxt: