• Kajika@lemmy.mlOP
    80·
    10 months ago

    Took me 2 hours to find out why the final output of a neural network was a bunch of NaN. This is always very annoying but I can’t really complain, it make sense. Just sucks.

    • flying_sheep@lemmy.ml
      152·
      10 months ago

      I guess you can always just add an assert not data.isna().any() in strategic locations

      • Kajika@lemmy.mlOP
        29·
        10 months ago

        That could be a nice way. Sadly it was in a C++ code base (using tensorflow). Therefore no such nice things (would be slow too). I skill-issued myself thinking a struct would be 0 -initialized but MyStruct input; would not while MyStruct input {}; will (that was the fix). Long story.

        • fkn@lemmy.world
          131·
          10 months ago

          I too have forgotten to memset my structs in c++ tensorflow after prototyping in python.

        • TheFadingOne@feddit.de
          5·
          10 months ago

          If you use the GNU libc the feenableexcept function, which you can use to enable certain floating point exceptions, could be useful to catch unexpected/unwanted NaNs

        • nickwitha_k (he/him)@lemmy.sdf.org
          21·
          10 months ago

          Oof. This makes me appreciate the abstractions in Go. It’s a small thing but initializing structs with zero values by default is nice.

  • affiliate@lemmy.world
    32·
    10 months ago

    this is just like in regular math too. not being a number is just so fun that nobody wants to go back to being a number once they get a taste of it

  • dan@upvote.au
    7·
    10 months ago

    Also applies to nulls in SQL queries.

    It’s not fun tracing where nulls are coming from when dealing with a 1500 line data warehouse pipeline query that aggregates 20 different tables.

  • Omega_Haxors@lemmy.mlEnglish
    7·
    10 months ago

    The funniest thing about NaNs is that they’re actually coded so you can see what caused it if you look at the binary. Only problem is; due to the nature of NaNs, that code is almost always going to resolve to “tried to perform arithmetic on a NaN”

    There are also coded NaNs which are defined and sometimes useful, such as +/-INF, MAX, MIN (epsilon), and Imaginary

  • navi@lemmy.tespia.org
    3·
    10 months ago

    NaN is such a fun floating point virus. Some really wonky gameplay after we hit NaN in a few spots.

  • ReakDuck@lemmy.ml
    3·
    10 months ago

    As I was coding in C++ my own Engine with OpenGL. I forgot something to do. Maybe forgot to assign a pointer or forgot to pass a variable. At the end I had copied a NaN value to a vertieces of my Model as the Model should be a wrapper for Data I wanted to read and visualize.

    Printing the entire Model into the terminal confused me why everything is NaN suddenly when it started nicely.