this post was submitted on 08 Feb 2024
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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.
I guess you can always just add an
assert not data.isna().any()
in strategic locationsThat 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 whileMyStruct input {};
will (that was the fix). Long story.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