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Commit dbf66870 authored by Tomáš Oberhuber's avatar Tomáš Oberhuber
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Fixing sparse matrix in PyTNL.

parent a07b1e56
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src/Python/pytnl/tnl/SparseMatrix.cpp
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......@@ -7,12 +7,12 @@
#include <Benchmarks/SpMV/ReferenceFormats/Legacy/Ellpack.h>
#include <Benchmarks/SpMV/ReferenceFormats/Legacy/SlicedEllpack.h>
using CSR_host = TNL::Matrices::Legacy::CSR< double, TNL::Devices::Host, int >;
using CSR_cuda = TNL::Matrices::Legacy::CSR< double, TNL::Devices::Cuda, int >;
using E_host = TNL::Matrices::Legacy::Ellpack< double, TNL::Devices::Host, int >;
using E_cuda = TNL::Matrices::Legacy::Ellpack< double, TNL::Devices::Cuda, int >;
using SE_host = TNL::Matrices::Legacy::SlicedEllpack< double, TNL::Devices::Host, int >;
using SE_cuda = TNL::Matrices::Legacy::SlicedEllpack< double, TNL::Devices::Cuda, int >;
using CSR_host = TNL::Benchmarks::SpMV::ReferenceFormats::Legacy::CSR< double, TNL::Devices::Host, int >;
using CSR_cuda = TNL::Benchmarks::SpMV::ReferenceFormats::Legacy::CSR< double, TNL::Devices::Cuda, int >;
using E_host = TNL::Benchmarks::SpMV::ReferenceFormats::Legacy::Ellpack< double, TNL::Devices::Host, int >;
using E_cuda = TNL::Benchmarks::SpMV::ReferenceFormats::Legacy::Ellpack< double, TNL::Devices::Cuda, int >;
using SE_host = TNL::Benchmarks::SpMV::ReferenceFormats::Legacy::SlicedEllpack< double, TNL::Devices::Host, int >;
using SE_cuda = TNL::Benchmarks::SpMV::ReferenceFormats::Legacy::SlicedEllpack< double, TNL::Devices::Cuda, int >;
void export_SparseMatrices( py::module & m )
{
......
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