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Make: GPL class_list.cpp.o failed #4413

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mariiavasileva opened this issue Nov 14, 2018 · 6 comments
Closed

Make: GPL class_list.cpp.o failed #4413

mariiavasileva opened this issue Nov 14, 2018 · 6 comments

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@mariiavasileva
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Hello,
I have a problem similar to this closed issue - #2841.

I am trying to use cmake -DCMAKE_BUILD_TYPE=release -DPythonModular=ON -DLICENSE_GPL_SHOGUN=ON -DBUILD_DASHBOARD_REPORTS=ON -DBUILD_META_EXAMPLES=ON -DENABLE_TESTING=OFF ..

Because as I understand DLICENSE_GPL_SHOGUN=ON is necessary for Gaussian Classification.

So I have the next cmake error:

.......................................................
.........................................................
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp:1067:19: note: ‘shogun::CSGObject* __new_CDualLibQPBMSOSVM(shogun::EPrimitiveType)’ previously defined here
static SHOGUN_BASIC_CLASS CSGObject* __new_CDualLibQPBMSOSVM(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CDualLibQPBMSOSVM(): NULL; }
^
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp: In function ‘shogun::CSGObject* __new_CMultitaskClusteredLogisticRegression(shogun::EPrimitiveType)’:
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp:1090:19: error: redefinition of ‘shogun::CSGObject* __new_CMultitaskClusteredLogisticRegression(shogun::EPrimitiveType)’
static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskClusteredLogisticRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskClusteredLogisticRegression(): NULL; }
^
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp:1068:19: note: ‘shogun::CSGObject* __new_CMultitaskClusteredLogisticRegression(shogun::EPrimitiveType)’ previously defined here
static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskClusteredLogisticRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskClusteredLogisticRegression(): NULL; }
^
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp: In function ‘shogun::CSGObject* __new_CMultitaskL12LogisticRegression(shogun::EPrimitiveType)’:
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp:1091:19: error: redefinition of ‘shogun::CSGObject* __new_CMultitaskL12LogisticRegression(shogun::EPrimitiveType)’
static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskL12LogisticRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskL12LogisticRegression(): NULL; }
^
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp:1069:19: note: ‘shogun::CSGObject* __new_CMultitaskL12LogisticRegression(shogun::EPrimitiveType)’ previously defined here
static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskL12LogisticRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskL12LogisticRegression(): NULL; }
^
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp: In function ‘shogun::CSGObject* __new_CMultitaskLeastSquaresRegression(shogun::EPrimitiveType)’:
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp:1092:19: error: redefinition of ‘shogun::CSGObject* __new_CMultitaskLeastSquaresRegression(shogun::EPrimitiveType)’
static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskLeastSquaresRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskLeastSquaresRegression(): NULL; }
^
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp:1070:19: note: ‘shogun::CSGObject* __new_CMultitaskLeastSquaresRegression(shogun::EPrimitiveType)’ previously defined here
static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskLeastSquaresRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskLeastSquaresRegression(): NULL; }
^
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp: In function ‘shogun::CSGObject* __new_CMultitaskLinearMachine(shogun::EPrimitiveType)’:
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp:1093:19: error: redefinition of ‘shogun::CSGObject* __new_CMultitaskLinearMachine(shogun::EPrimitiveType)’
static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskLinearMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskLinearMachine(): NULL; }
^
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp:1071:19: note: ‘shogun::CSGObject* __new_CMultitaskLinearMachine(shogun::EPrimitiveType)’ previously defined here
static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskLinearMachine(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskLinearMachine(): NULL; }
^
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp: In function ‘shogun::CSGObject* __new_CMultitaskLogisticRegression(shogun::EPrimitiveType)’:
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp:1094:19: error: redefinition of ‘shogun::CSGObject* __new_CMultitaskLogisticRegression(shogun::EPrimitiveType)’
static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskLogisticRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskLogisticRegression(): NULL; }
^
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp:1072:19: note: ‘shogun::CSGObject* __new_CMultitaskLogisticRegression(shogun::EPrimitiveType)’ previously defined here
static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskLogisticRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskLogisticRegression(): NULL; }
^
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp: In function ‘shogun::CSGObject* __new_CMultitaskTraceLogisticRegression(shogun::EPrimitiveType)’:
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp:1095:19: error: redefinition of ‘shogun::CSGObject* __new_CMultitaskTraceLogisticRegression(shogun::EPrimitiveType)’
static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskTraceLogisticRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskTraceLogisticRegression(): NULL; }
^
/home/mariia/Downloads/shogun1/shogun/build/src/shogun/base/class_list.cpp:1073:19: note: ‘shogun::CSGObject* __new_CMultitaskTraceLogisticRegression(shogun::EPrimitiveType)’ previously defined here
static SHOGUN_BASIC_CLASS CSGObject* __new_CMultitaskTraceLogisticRegression(EPrimitiveType g) { return g == PT_NOT_GENERIC? new CMultitaskTraceLogisticRegression(): NULL; }
^
src/shogun/CMakeFiles/libshogun.dir/build.make:18529: recipe for target 'src/shogun/CMakeFiles/libshogun.dir/base/class_list.cpp.o' failed
make[2]: *** [src/shogun/CMakeFiles/libshogun.dir/base/class_list.cpp.o] Error 1
CMakeFiles/Makefile2:1101: recipe for target 'src/shogun/CMakeFiles/libshogun.dir/all' failed
make[1]: *** [src/shogun/CMakeFiles/libshogun.dir/all] Error 2
Makefile:162: recipe for target 'all' failed
make: *** [all] Error 2

I did not get from the similar question how to fix it. Can you help me, please?
@mariiavasileva
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In general: Is it possible to run this example - http://www.shogun-toolbox.org/examples/latest/examples/gaussian_processes/gaussian_process_classifier.html without GPL?

@karlnapf
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In general: Is it possible to run this example - http://www.shogun-toolbox.org/examples/latest/examples/gaussian_processes/gaussian_process_classifier.html without GPL?

No, as of now, you will get a runtime error you you haven't got the GPL modules installed.
This is coming from brent.cpp, an optimization library that is included within Shogun's (GPL) source tree that is needed for inference. Note that brent is LGPL, so if you put that as an external dependency that is dynamically linked against, it would be OK. Some refactoring work ....

@karlnapf
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your build errors are probably coming from an outdated build directory after changing the license options in cmake.... Try to build from scratch

@karlnapf
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Ill close this for now, feel free to re-open if the above doesnt work

@mariiavasileva
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Ill close this for now, feel free to re-open if the above doesnt work

It helps, thank you.) Just one more question related to the classifier.cpp example. I can run it successfully now, but I don't really understand how can I look at the results? Because standard cout returns : output 0xe85f00)?

@karlnapf
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as the example states you can look at the predictions

labels_predict = gp_classifier.apply_multiclass(features_test)
labels_predict.get_labels()

You can extract the probabilities via gp_classifier.get_probabilities(features_train)

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@karlnapf @mariiavasileva