Comments (2)
Hi there,
I encountered the same issue whilst trying to use this lovely package so am writing in case this may help.
I think the problem is that SPQR tries to load CUBLAS under the extern "C" wrapper but CUBLAS now has its own way of dealing with C++ compilers (by using the __cplusplus definition).
A hack around this is to include <cublas_v2.h> in the normal C++ mode before cholmod.h (or specifically cholmod_core.h) gets there.
As a workaround, if you just add the following lines just after #define SUITESPARSEQR_H in SuiteSparseQR.hpp and before the extern "C" bits, it should work:
#ifdef GPU_BLAS
#include <cublas_v2.h>
#endif
Alternatively, you can try out my fork at https://github.com/jhh37/suitesparse-metis-for-windows.
from suitesparse-metis-for-windows.
Should be fixed after #68 .
from suitesparse-metis-for-windows.
Related Issues (20)
- Debugging issue HOT 2
- In cuda test example, program is finished regularly, but the summary shows that GPU is not called. HOT 1
- Where is your document?
- How to enable TBB in cmake? HOT 1
- multiple definition HOT 2
- Request for Release 1.6.0 or 1.5.1 HOT 2
- Provide SuiteSparse_METIS_VERSION variable when building with METIS
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- Compile error with Metis and Ceres-solver 2.2.0
- Increase minimum CMake version to 3.5 to prevent deprecation warnings
- No lapack_blas_windows folder found HOT 2
- Noob question for building the code HOT 1
- does the suitesparse project support cross compile and build for android running? HOT 6
- Could not find SuiteSparseConfig.cmake HOT 3
- FindSuiteSparse.cmake dead link HOT 3
- How to compile suitesparse for Windows on Linux with mingw ? HOT 10
- Cmake on Windows says "Could NOT find LAPACK" HOT 3
- compile suitesparse failed with vs2017 x64 HOT 3
- Update to 5.7.2 HOT 6
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