[mlpack-svn] [MLPACK] #300: allknn fails for mnist8m dataset

[MLPACK Trac]

#300: allknn fails for mnist8m dataset
----------------------+-----------------------------------------------------
  Reporter:  rozyang  |        Owner:  rcurtin 
      Type:  defect   |       Status:  accepted
  Priority:  major    |    Milestone:          
 Component:  mlpack   |   Resolution:          
  Keywords:           |     Blocking:          
Blocked By:  302      |  
----------------------+-----------------------------------------------------

Comment (by rcurtin):

 Wow -- 1TB... I don't have access to a machine with that much RAM. :(

 Since I won't be able to reproduce the results, then, could I have you get
 a little debugging output with gdb?  If you can recompile mlpack with
 debugging symbols (i.e. call CMake with the -DDEBUG=ON flag when you
 configure mlpack), then run your program in gdb:

 {{{
 $ gdb allknn
 ...
 (gdb) run -r mnist8m.csv -n mnist8m_3nn.csv -d distances_out.csv -k 3 -v
 }}}

 When it crashes, if you can get a backtrace (bt), that would probably be
 helpful enough to figure out what is going on.

 Also, do you know if ARMA_64BIT_WORD is enabled in Armadillo?  You can do
 that by modifying include/armadillo_bits/config.hpp, or adding `#define
 ARMA_64BIT_WORD` at the top of your program (before `#include
 <mlpack/core.hpp>`).  If it isn't enabled, then Armadillo will refuse to
 create very large matrices because they cannot be indexed uniquely with a
 32-bit type.

-- 
Ticket URL: <http://trac.research.cc.gatech.edu/fastlab/ticket/300#comment:7>
MLPACK <www.fast-lab.org>
MLPACK is an intuitive, fast, and scalable C++ machine learning library developed at Georgia Tech.