12345qiupeng
/
gtsam
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
gtsam/python/handwritten/utils/NumpyEigen.cpp

55 lines
1.9 KiB
C++
Raw Normal View History

Move my developments to the handwritten structure of files that existed before There's a problem with numpy_eigen causing a segmentation fault.
2015-11-20 01:31:38 +08:00
/* ----------------------------------------------------------------------------
* GTSAM Copyright 2010, Georgia Tech Research Corporation,
* Atlanta, Georgia 30332-0415
* All Rights Reserved
* Authors: Frank Dellaert, et al. (see THANKS for the full author list)
* See LICENSE for the license information
* -------------------------------------------------------------------------- */
/**
* @brief register conversion matrix between numpy and Eigen
* @author Ellon Paiva Mendes (LAAS-CNRS)
**/
Define NO_IMPORT_ARRAY in all cpp files before including NumpyEigenConverter.hpp This fixes the segmentation fault when converting numpy and Eigen. The reason is that NumpyEigenConverter.hpp includes numpy/arrayobject.h, and for the numpy's C-API to work in multiple files we need to define NO_IMPORT_ARRAY before including numpy/arrayobject.h in all the source files but the one that defines the module initialization (exportgtsam.cpp in out case), as explained here: http://docs.scipy.org/doc/numpy/reference/c-api.array.html#importing-the-api Note that PY_ARRAY_UNIQUE_SYMBOL, also needed to work multifile, is already defined on NumpyEigenConverter.hpp.
2015-11-21 04:40:40 +08:00
#include <boost/python.hpp>
Move my developments to the handwritten structure of files that existed before There's a problem with numpy_eigen causing a segmentation fault.
2015-11-20 01:31:38 +08:00
Define NO_IMPORT_ARRAY in all cpp files before including NumpyEigenConverter.hpp This fixes the segmentation fault when converting numpy and Eigen. The reason is that NumpyEigenConverter.hpp includes numpy/arrayobject.h, and for the numpy's C-API to work in multiple files we need to define NO_IMPORT_ARRAY before including numpy/arrayobject.h in all the source files but the one that defines the module initialization (exportgtsam.cpp in out case), as explained here: http://docs.scipy.org/doc/numpy/reference/c-api.array.html#importing-the-api Note that PY_ARRAY_UNIQUE_SYMBOL, also needed to work multifile, is already defined on NumpyEigenConverter.hpp.
2015-11-21 04:40:40 +08:00
#define NO_IMPORT_ARRAY
Move my developments to the handwritten structure of files that existed before There's a problem with numpy_eigen causing a segmentation fault.
2015-11-20 01:31:38 +08:00
#include <numpy_eigen/NumpyEigenConverter.hpp>
#include "gtsam/base/Matrix.h"
#include "gtsam/base/Vector.h"
using namespace boost::python;
using namespace gtsam;
void registerNumpyEigenConversions()
{
Define NO_IMPORT_ARRAY in all cpp files before including NumpyEigenConverter.hpp This fixes the segmentation fault when converting numpy and Eigen. The reason is that NumpyEigenConverter.hpp includes numpy/arrayobject.h, and for the numpy's C-API to work in multiple files we need to define NO_IMPORT_ARRAY before including numpy/arrayobject.h in all the source files but the one that defines the module initialization (exportgtsam.cpp in out case), as explained here: http://docs.scipy.org/doc/numpy/reference/c-api.array.html#importing-the-api Note that PY_ARRAY_UNIQUE_SYMBOL, also needed to work multifile, is already defined on NumpyEigenConverter.hpp.
2015-11-21 04:40:40 +08:00
// NOTE: import array should be called only in the cpp defining the module
// import_array();
Move my developments to the handwritten structure of files that existed before There's a problem with numpy_eigen causing a segmentation fault.
2015-11-20 01:31:38 +08:00
NumpyEigenConverter<Vector>::register_converter();
NumpyEigenConverter<Vector1>::register_converter();
NumpyEigenConverter<Vector2>::register_converter();
NumpyEigenConverter<Vector3>::register_converter();
NumpyEigenConverter<Vector4>::register_converter();
NumpyEigenConverter<Vector5>::register_converter();
NumpyEigenConverter<Vector6>::register_converter();
NumpyEigenConverter<Vector7>::register_converter();
NumpyEigenConverter<Vector8>::register_converter();
NumpyEigenConverter<Vector9>::register_converter();
NumpyEigenConverter<Vector10>::register_converter();
NumpyEigenConverter<Matrix>::register_converter();
NumpyEigenConverter<Matrix2>::register_converter();
NumpyEigenConverter<Matrix3>::register_converter();
NumpyEigenConverter<Matrix4>::register_converter();
NumpyEigenConverter<Matrix5>::register_converter();
NumpyEigenConverter<Matrix6>::register_converter();
NumpyEigenConverter<Matrix7>::register_converter();
NumpyEigenConverter<Matrix8>::register_converter();
NumpyEigenConverter<Matrix9>::register_converter();
}