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NVCC does not understand `__forceinline`, so we need to use `inline` when compiling for GPU. ICC specializes `std::complex` operators for `float` and `double` by default, which cannot be used on device and conflict with Eigen's workaround in CUDA/Complex.h. This can be prevented by defining `_OVERRIDE_COMPLEX_SPECIALIZATION_` before including `<complex>`. Added this define to the tests and to `Eigen/Core`, but this will not work if the user includes `<complex>` before `<Eigen/Core>`. ICC also seems to generate a duplicate `Map` symbol in `PlainObjectBase`: ``` error: "Map" has already been declared in the current scope static ConstMapType Map(const Scalar *data) ``` I tracked this down to `friend class Eigen::Map`. Putting the `friend` statements at the bottom of the class seems to resolve this issue. Fixes #2180 |
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bench | ||
blas | ||
ci | ||
cmake | ||
debug | ||
demos | ||
doc | ||
Eigen | ||
failtest | ||
lapack | ||
scripts | ||
test | ||
unsupported | ||
.gitignore | ||
.gitlab-ci.yml | ||
.hgeol | ||
CMakeLists.txt | ||
COPYING.APACHE | ||
COPYING.BSD | ||
COPYING.GPL | ||
COPYING.LGPL | ||
COPYING.MINPACK | ||
COPYING.MPL2 | ||
COPYING.README | ||
CTestConfig.cmake | ||
CTestCustom.cmake.in | ||
eigen3.pc.in | ||
INSTALL | ||
README.md | ||
signature_of_eigen3_matrix_library |
Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.
For more information go to http://eigen.tuxfamily.org/.
For pull request, bug reports, and feature requests, go to https://gitlab.com/libeigen/eigen.