Indeed. The original code seems to be available, too, and the function used for clipping is bound_range:
$ git clone https://github.com/szcom/rnnlib
$ rgrep bound_range rnnlib/
rnnlib/src/MixtureOutputLayer.hpp: bound_range(paramSigmaXY, almostZero, realMax);
rnnlib/src/MixtureOutputLayer.hpp: bound_range(inputErrors[pt], -100.0, 100.0);
rnnlib/src/Helpers.hpp:static void bound_range(R &r,
rnnlib/src/Lstm1dLayer.hpp: bound_range(inErrs, -10.0, 10.0);
rnnlib/src/LstmLayer.hpp: bound_range(inErrs, -10.0, 10.0);
rnnlib/src/CharWindowLayer.hpp: bound_range(inputErrors[coords], -10.0, 10.0);
I do look forward looking at pytorch code instead. 
Best regards
Thomas