Le samedi 22 novembre 2014 à 14:56 -0800, Jacek Hoła a écrit : > It seemed pretty handy to have one test in just one file. I used > readdlm and it works great, but now I have 4 files (3 matrices and one > jl with readdlms and call to module). Guess I can live with that. I see. Jeff could give you an informed answer, but I guess the parser isn't designed to handle very large arrays very efficiently.
Regards > W dniu sobota, 22 listopada 2014 23:38:10 UTC+1 użytkownik Milan > Bouchet-Valat napisał: > Le samedi 22 novembre 2014 à 13:15 -0800, Jacek Hoła a > écrit : > > Hi guys, > > > > I tried to find some advice here and on google but with no > luck. I'm > > trying to initialize a matrix of Float64. Since I have the > values I > > just did > > > > my_matrix = Float64[3.5 6.7 2 0 lots of numbers...; > > 3 0 6.4 3.4 and so on...] > > > > > > the matrix was around 800 x 1800. I've got it in a .jl file. > When I > > run it it takes quite a long time and uses 2.3 GB of memory. > Why did > > it happen and how can I initialize this array explicitly > (not from > > external file or through HDF5) without such memory usage? > Any reason why you really don't want to initialize it from an > external > file? Using a simple format readable by readdlm() would be > quite > natural. Keeping this data in a .jl file doesn't sound very > practical. > > > Regards >
