Check failed: GetOpGradFactory()->insert({op, func}).second Duplicated gradient for MapAccumulate












1















Note:
I also posted this question here https://openmodelica.org/forum/default-topic/2570-linux-mint,-python-3-6-omc-server-is-down-please-start-it and I hope to reach a larger group with tensorflow experience as well.





I want to use the Tensorflow C++ API in a Modelica Model.



For this, I created a class in C++ that encapsulates the Tensorflow details.
Moreover, the same file contains 3 functions (to call the constructor, destructor and a function that uses an existing instance of my class. These functions are declared "extern" in the respective header file (only if read by a C++ compiler, I am using __cplusplus to differentiate).



I then compiled said file (the class and the 3 functions) into a .so using g++ (I did make use of -fPIC and -shared). In /usr/lib, I created a symlink to said shared object library.



(For completeness, I should mention that I had trouble with the "LibraryDirectory" and "IncludeDirectory" annotations. This is why I created symlinks to the contents of all the directories I would pass to g++/gcc using -L and -I (for my test program) right into Model/Resources/Library and Model/Resources/Include directories. As there were no more compilation errors, I thought that this was okay.)



Now the strange thing is:



I can use the 3 functions in a test program compiled with gcc. I linked it against all Tensorflow libraries (and libm, libstdc++ and my .so from above) and it just works as expected.
However, when I try to use these 3 functions in a) a Modelica Class (constructor and destructor), and b) a function using an "external" function call, it will compile fine but a runtime error occurs:





stdout | OMEditInfo |


/tmp/OpenModelica_fred/OMEdit/TestCpp -port=44382 -logFormat=xmltcp -override=startTime=0,stopTime=1,stepSize=0.002,tolerance=1e-6,solver=dassl,outputFormat=mat,variableFilter=.* -r=TestCpp_res.mat -w -lv=LOG_STATS


stdout | error |

2018-11-22 10:47:00.153977: F tensorflow/core/framework/function.cc:1440] Check failed: GetOpGradFactory()->insert({op, func}).second Duplicated gradient for MapAccumulate



stdout | error |


Process crashed


stdout | error |

Process crashed

Simulation process failed. Exited with code 6.





How is this possible? I am not able to do anything in my test program with the 3 functions that leads to the same error. What could the OMC-generated executable be doing with them that I am not in my test program?










share|improve this question



























    1















    Note:
    I also posted this question here https://openmodelica.org/forum/default-topic/2570-linux-mint,-python-3-6-omc-server-is-down-please-start-it and I hope to reach a larger group with tensorflow experience as well.





    I want to use the Tensorflow C++ API in a Modelica Model.



    For this, I created a class in C++ that encapsulates the Tensorflow details.
    Moreover, the same file contains 3 functions (to call the constructor, destructor and a function that uses an existing instance of my class. These functions are declared "extern" in the respective header file (only if read by a C++ compiler, I am using __cplusplus to differentiate).



    I then compiled said file (the class and the 3 functions) into a .so using g++ (I did make use of -fPIC and -shared). In /usr/lib, I created a symlink to said shared object library.



    (For completeness, I should mention that I had trouble with the "LibraryDirectory" and "IncludeDirectory" annotations. This is why I created symlinks to the contents of all the directories I would pass to g++/gcc using -L and -I (for my test program) right into Model/Resources/Library and Model/Resources/Include directories. As there were no more compilation errors, I thought that this was okay.)



    Now the strange thing is:



    I can use the 3 functions in a test program compiled with gcc. I linked it against all Tensorflow libraries (and libm, libstdc++ and my .so from above) and it just works as expected.
    However, when I try to use these 3 functions in a) a Modelica Class (constructor and destructor), and b) a function using an "external" function call, it will compile fine but a runtime error occurs:





    stdout | OMEditInfo |


    /tmp/OpenModelica_fred/OMEdit/TestCpp -port=44382 -logFormat=xmltcp -override=startTime=0,stopTime=1,stepSize=0.002,tolerance=1e-6,solver=dassl,outputFormat=mat,variableFilter=.* -r=TestCpp_res.mat -w -lv=LOG_STATS


    stdout | error |

    2018-11-22 10:47:00.153977: F tensorflow/core/framework/function.cc:1440] Check failed: GetOpGradFactory()->insert({op, func}).second Duplicated gradient for MapAccumulate



    stdout | error |


    Process crashed


    stdout | error |

    Process crashed

    Simulation process failed. Exited with code 6.





    How is this possible? I am not able to do anything in my test program with the 3 functions that leads to the same error. What could the OMC-generated executable be doing with them that I am not in my test program?










    share|improve this question

























      1












      1








      1








      Note:
      I also posted this question here https://openmodelica.org/forum/default-topic/2570-linux-mint,-python-3-6-omc-server-is-down-please-start-it and I hope to reach a larger group with tensorflow experience as well.





      I want to use the Tensorflow C++ API in a Modelica Model.



      For this, I created a class in C++ that encapsulates the Tensorflow details.
      Moreover, the same file contains 3 functions (to call the constructor, destructor and a function that uses an existing instance of my class. These functions are declared "extern" in the respective header file (only if read by a C++ compiler, I am using __cplusplus to differentiate).



      I then compiled said file (the class and the 3 functions) into a .so using g++ (I did make use of -fPIC and -shared). In /usr/lib, I created a symlink to said shared object library.



      (For completeness, I should mention that I had trouble with the "LibraryDirectory" and "IncludeDirectory" annotations. This is why I created symlinks to the contents of all the directories I would pass to g++/gcc using -L and -I (for my test program) right into Model/Resources/Library and Model/Resources/Include directories. As there were no more compilation errors, I thought that this was okay.)



      Now the strange thing is:



      I can use the 3 functions in a test program compiled with gcc. I linked it against all Tensorflow libraries (and libm, libstdc++ and my .so from above) and it just works as expected.
      However, when I try to use these 3 functions in a) a Modelica Class (constructor and destructor), and b) a function using an "external" function call, it will compile fine but a runtime error occurs:





      stdout | OMEditInfo |


      /tmp/OpenModelica_fred/OMEdit/TestCpp -port=44382 -logFormat=xmltcp -override=startTime=0,stopTime=1,stepSize=0.002,tolerance=1e-6,solver=dassl,outputFormat=mat,variableFilter=.* -r=TestCpp_res.mat -w -lv=LOG_STATS


      stdout | error |

      2018-11-22 10:47:00.153977: F tensorflow/core/framework/function.cc:1440] Check failed: GetOpGradFactory()->insert({op, func}).second Duplicated gradient for MapAccumulate



      stdout | error |


      Process crashed


      stdout | error |

      Process crashed

      Simulation process failed. Exited with code 6.





      How is this possible? I am not able to do anything in my test program with the 3 functions that leads to the same error. What could the OMC-generated executable be doing with them that I am not in my test program?










      share|improve this question














      Note:
      I also posted this question here https://openmodelica.org/forum/default-topic/2570-linux-mint,-python-3-6-omc-server-is-down-please-start-it and I hope to reach a larger group with tensorflow experience as well.





      I want to use the Tensorflow C++ API in a Modelica Model.



      For this, I created a class in C++ that encapsulates the Tensorflow details.
      Moreover, the same file contains 3 functions (to call the constructor, destructor and a function that uses an existing instance of my class. These functions are declared "extern" in the respective header file (only if read by a C++ compiler, I am using __cplusplus to differentiate).



      I then compiled said file (the class and the 3 functions) into a .so using g++ (I did make use of -fPIC and -shared). In /usr/lib, I created a symlink to said shared object library.



      (For completeness, I should mention that I had trouble with the "LibraryDirectory" and "IncludeDirectory" annotations. This is why I created symlinks to the contents of all the directories I would pass to g++/gcc using -L and -I (for my test program) right into Model/Resources/Library and Model/Resources/Include directories. As there were no more compilation errors, I thought that this was okay.)



      Now the strange thing is:



      I can use the 3 functions in a test program compiled with gcc. I linked it against all Tensorflow libraries (and libm, libstdc++ and my .so from above) and it just works as expected.
      However, when I try to use these 3 functions in a) a Modelica Class (constructor and destructor), and b) a function using an "external" function call, it will compile fine but a runtime error occurs:





      stdout | OMEditInfo |


      /tmp/OpenModelica_fred/OMEdit/TestCpp -port=44382 -logFormat=xmltcp -override=startTime=0,stopTime=1,stepSize=0.002,tolerance=1e-6,solver=dassl,outputFormat=mat,variableFilter=.* -r=TestCpp_res.mat -w -lv=LOG_STATS


      stdout | error |

      2018-11-22 10:47:00.153977: F tensorflow/core/framework/function.cc:1440] Check failed: GetOpGradFactory()->insert({op, func}).second Duplicated gradient for MapAccumulate



      stdout | error |


      Process crashed


      stdout | error |

      Process crashed

      Simulation process failed. Exited with code 6.





      How is this possible? I am not able to do anything in my test program with the 3 functions that leads to the same error. What could the OMC-generated executable be doing with them that I am not in my test program?







      c++ tensorflow modelica openmodelica






      share|improve this question













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      share|improve this question










      asked Nov 23 '18 at 9:07









      dafreddafred

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          I found a solution pointing the symlink "clang" in /usr/bin to "gcc".



          For instructions, check https://openmodelica.org/forum/default-topic/2570-linux-mint,-python-3-6-omc-server-is-down-please-start-it .






          share|improve this answer























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            active

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            active

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            I found a solution pointing the symlink "clang" in /usr/bin to "gcc".



            For instructions, check https://openmodelica.org/forum/default-topic/2570-linux-mint,-python-3-6-omc-server-is-down-please-start-it .






            share|improve this answer




























              1














              I found a solution pointing the symlink "clang" in /usr/bin to "gcc".



              For instructions, check https://openmodelica.org/forum/default-topic/2570-linux-mint,-python-3-6-omc-server-is-down-please-start-it .






              share|improve this answer


























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                1








                1







                I found a solution pointing the symlink "clang" in /usr/bin to "gcc".



                For instructions, check https://openmodelica.org/forum/default-topic/2570-linux-mint,-python-3-6-omc-server-is-down-please-start-it .






                share|improve this answer













                I found a solution pointing the symlink "clang" in /usr/bin to "gcc".



                For instructions, check https://openmodelica.org/forum/default-topic/2570-linux-mint,-python-3-6-omc-server-is-down-please-start-it .







                share|improve this answer












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                share|improve this answer










                answered Nov 23 '18 at 10:14









                dafreddafred

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