How to recompile ffnet files

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jason
2012-08-30
2013-04-23
  • jason

    jason - 2012-08-30

    Hello,

    I have gotten the ffnet code to work properly, and I have verified that I can run the generated code in fortran after executing the python script.

    I am working on trying to implement code to use a different transfer function (tanh instead of sigmoid).

    I have updated the fortran code in ffnet.f that resides in the /fortran folder.  However, I am having trouble getting my changes to work.  I am wondering if I have to re-compile the source code to include these changes.  For example, I see the compile.py file is used to compile the fortran files… but I can't get execute compile.py without getting an error (it seems that there is a problem locating a file named pythonw.exe.

    Any help is greatly appreciated.

     
  • Marek

    Marek - 2012-08-31

    The command in the system shell:

    f2py -m _ffnet -c ffnet.f

    should do the thing if you have prpperly installed Fortran and C compilers. What operating system you use? Could you send the errors generated by compile.py?

     
  • jason

    jason - 2012-09-04

    1) I was using windows, but I thought it might be useful to try it on Linux.  So, I just installed openSUSE on an old computer.  I got the ffnet code up and running again.

    2) In a terminal window I used the command you sent in your first reply… 

    f2py -m _ffnet -c ffnet.f

    3) My changes were then included next time I ran the python script!

    4) However, the code did not run correctly when I tried to replace all of your sigmoid functions with tanh.  I also made sure to replace all derivative calculations to the derivative of tanh… for example,

    f = 1 - tanh(f)^2

    5) In Summary, each of these lines were changed to use tanh or to use derivative of tanh
    line 44, 59, 133, 146, 154, 232, 397

    Any idea why I would get an error?  Could it be a normalization problem since tanh can accept -1 to 1 but sigmoid can only accept 0 to 1?

     
  • Marek

    Marek - 2012-09-05

    normalization would be a reason of worse training results for tanh. what errors exactly do you get an for what training problem?

     
  • jason

    jason - 2012-09-19

    The code won't even run, I get a segmentation violation.

    I have resorted to using the code as-is with the sigmoid activation functions.  I may re-visit trying to use tanh, but I don't have the time for it right now.

    On a separate topic, do you know what cost function is minimized when using the optimization routines (bfgs, momentum, tnc)? 

     
  • Marek

    Marek - 2012-09-20

    Cost function is calculated as sum of the squared errors at all outputs and
    for all training samples - for *normalized* trainig data.

     

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