Loading src/UnitTests/Matrices/SparseMatrixTest.h +82 −27 Original line number Diff line number Diff line Loading @@ -756,6 +756,61 @@ void test_Print() EXPECT_EQ( printed.str(), couted.str() ); } // test fixture for typed tests template< typename Matrix > class SparseMatrixTest : public ::testing::Test { protected: using SparseMatrixType = Matrix; }; // types for which MatrixTest is instantiated using SparseMatrixTypes = ::testing::Types < TNL::Matrices::CSR< int, TNL::Devices::Host, short >, TNL::Matrices::CSR< long, TNL::Devices::Host, short >, TNL::Matrices::CSR< float, TNL::Devices::Host, short >, TNL::Matrices::CSR< double, TNL::Devices::Host, short >, TNL::Matrices::CSR< int, TNL::Devices::Host, int >, TNL::Matrices::CSR< long, TNL::Devices::Host, int >, TNL::Matrices::CSR< float, TNL::Devices::Host, int >, TNL::Matrices::CSR< double, TNL::Devices::Host, int >, TNL::Matrices::CSR< int, TNL::Devices::Host, long >, TNL::Matrices::CSR< long, TNL::Devices::Host, long >, TNL::Matrices::CSR< float, TNL::Devices::Host, long >, TNL::Matrices::CSR< double, TNL::Devices::Host, long >, #ifdef HAVE_CUDA TNL::Matrices::CSR< int, TNL::Devices::Cuda, short >, TNL::Matrices::CSR< long, TNL::Devices::Cuda, short >, TNL::Matrices::CSR< float, TNL::Devices::Cuda, short >, TNL::Matrices::CSR< double, TNL::Devices::Cuda, short >, TNL::Matrices::CSR< int, TNL::Devices::Cuda, int >, TNL::Matrices::CSR< long, TNL::Devices::Cuda, int >, TNL::Matrices::CSR< float, TNL::Devices::Cuda, int >, TNL::Matrices::CSR< double, TNL::Devices::Cuda, int >, TNL::Matrices::CSR< int, TNL::Devices::Cuda, long >, TNL::Matrices::CSR< long, TNL::Devices::Cuda, long >, TNL::Matrices::CSR< float, TNL::Devices::Cuda, long >, TNL::Matrices::CSR< double, TNL::Devices::Cuda, long > #endif >; TYPED_TEST_CASE( SparseMatrixTest, SparseMatrixTypes ); TYPED_TEST( SparseMatrixTest, setDimensionsTest ) { using SparseMatrixType = typename TestFixture::SparseMatrixType; test_SetDimensions< SparseMatrixType >(); } TYPED_TEST( SparseMatrixTest, setCompressedRowLengthsTest ) { using SparseMatrixType = typename TestFixture::SparseMatrixType; test_SetCompressedRowLengths< SparseMatrixType >(); } //// test_getType is not general enough yet. DO NOT TEST IT YET. //TEST( SparseMatrixTest, CSR_GetTypeTest_Host ) Loading @@ -770,34 +825,34 @@ void test_Print() //} //#endif TEST( SparseMatrixTest, CSR_setDimensionsTest_Host ) { test_SetDimensions< CSR_host_int >(); } #ifdef HAVE_CUDA TEST( SparseMatrixTest, CSR_setDimensionsTest_Cuda ) { test_SetDimensions< CSR_cuda_int >(); } #endif TEST( SparseMatrixTest, CSR_setCompressedRowLengthsTest_Host ) { test_SetCompressedRowLengths< CSR_host_int >(); } #ifdef HAVE_CUDA TEST( SparseMatrixTest, CSR_setCompressedRowLengthsTest_Cuda ) { test_SetCompressedRowLengths< CSR_cuda_int >(); } #endif //TEST( SparseMatrixTest, CSR_setDimensionsTest_Host ) //{ // test_SetDimensions< CSR_host_int >(); //} // //#ifdef HAVE_CUDA //TEST( SparseMatrixTest, CSR_setDimensionsTest_Cuda ) //{ // test_SetDimensions< CSR_cuda_int >(); //} //#endif TEST( SparseMatrixTest, CSR_setLikeTest_Host ) { test_SetLike< CSR_host_int, CSR_host_float >(); } //TEST( SparseMatrixTest, CSR_setCompressedRowLengthsTest_Host ) //{ // test_SetCompressedRowLengths< CSR_host_int >(); //} // //#ifdef HAVE_CUDA //TEST( SparseMatrixTest, CSR_setCompressedRowLengthsTest_Cuda ) //{ // test_SetCompressedRowLengths< CSR_cuda_int >(); //} //#endif // //TEST( SparseMatrixTest, CSR_setLikeTest_Host ) //{ // test_SetLike< CSR_host_int, CSR_host_float >(); //} #ifdef HAVE_CUDA TEST( SparseMatrixTest, CSR_setLikeTest_Cuda ) Loading Loading
src/UnitTests/Matrices/SparseMatrixTest.h +82 −27 Original line number Diff line number Diff line Loading @@ -756,6 +756,61 @@ void test_Print() EXPECT_EQ( printed.str(), couted.str() ); } // test fixture for typed tests template< typename Matrix > class SparseMatrixTest : public ::testing::Test { protected: using SparseMatrixType = Matrix; }; // types for which MatrixTest is instantiated using SparseMatrixTypes = ::testing::Types < TNL::Matrices::CSR< int, TNL::Devices::Host, short >, TNL::Matrices::CSR< long, TNL::Devices::Host, short >, TNL::Matrices::CSR< float, TNL::Devices::Host, short >, TNL::Matrices::CSR< double, TNL::Devices::Host, short >, TNL::Matrices::CSR< int, TNL::Devices::Host, int >, TNL::Matrices::CSR< long, TNL::Devices::Host, int >, TNL::Matrices::CSR< float, TNL::Devices::Host, int >, TNL::Matrices::CSR< double, TNL::Devices::Host, int >, TNL::Matrices::CSR< int, TNL::Devices::Host, long >, TNL::Matrices::CSR< long, TNL::Devices::Host, long >, TNL::Matrices::CSR< float, TNL::Devices::Host, long >, TNL::Matrices::CSR< double, TNL::Devices::Host, long >, #ifdef HAVE_CUDA TNL::Matrices::CSR< int, TNL::Devices::Cuda, short >, TNL::Matrices::CSR< long, TNL::Devices::Cuda, short >, TNL::Matrices::CSR< float, TNL::Devices::Cuda, short >, TNL::Matrices::CSR< double, TNL::Devices::Cuda, short >, TNL::Matrices::CSR< int, TNL::Devices::Cuda, int >, TNL::Matrices::CSR< long, TNL::Devices::Cuda, int >, TNL::Matrices::CSR< float, TNL::Devices::Cuda, int >, TNL::Matrices::CSR< double, TNL::Devices::Cuda, int >, TNL::Matrices::CSR< int, TNL::Devices::Cuda, long >, TNL::Matrices::CSR< long, TNL::Devices::Cuda, long >, TNL::Matrices::CSR< float, TNL::Devices::Cuda, long >, TNL::Matrices::CSR< double, TNL::Devices::Cuda, long > #endif >; TYPED_TEST_CASE( SparseMatrixTest, SparseMatrixTypes ); TYPED_TEST( SparseMatrixTest, setDimensionsTest ) { using SparseMatrixType = typename TestFixture::SparseMatrixType; test_SetDimensions< SparseMatrixType >(); } TYPED_TEST( SparseMatrixTest, setCompressedRowLengthsTest ) { using SparseMatrixType = typename TestFixture::SparseMatrixType; test_SetCompressedRowLengths< SparseMatrixType >(); } //// test_getType is not general enough yet. DO NOT TEST IT YET. //TEST( SparseMatrixTest, CSR_GetTypeTest_Host ) Loading @@ -770,34 +825,34 @@ void test_Print() //} //#endif TEST( SparseMatrixTest, CSR_setDimensionsTest_Host ) { test_SetDimensions< CSR_host_int >(); } #ifdef HAVE_CUDA TEST( SparseMatrixTest, CSR_setDimensionsTest_Cuda ) { test_SetDimensions< CSR_cuda_int >(); } #endif TEST( SparseMatrixTest, CSR_setCompressedRowLengthsTest_Host ) { test_SetCompressedRowLengths< CSR_host_int >(); } #ifdef HAVE_CUDA TEST( SparseMatrixTest, CSR_setCompressedRowLengthsTest_Cuda ) { test_SetCompressedRowLengths< CSR_cuda_int >(); } #endif //TEST( SparseMatrixTest, CSR_setDimensionsTest_Host ) //{ // test_SetDimensions< CSR_host_int >(); //} // //#ifdef HAVE_CUDA //TEST( SparseMatrixTest, CSR_setDimensionsTest_Cuda ) //{ // test_SetDimensions< CSR_cuda_int >(); //} //#endif TEST( SparseMatrixTest, CSR_setLikeTest_Host ) { test_SetLike< CSR_host_int, CSR_host_float >(); } //TEST( SparseMatrixTest, CSR_setCompressedRowLengthsTest_Host ) //{ // test_SetCompressedRowLengths< CSR_host_int >(); //} // //#ifdef HAVE_CUDA //TEST( SparseMatrixTest, CSR_setCompressedRowLengthsTest_Cuda ) //{ // test_SetCompressedRowLengths< CSR_cuda_int >(); //} //#endif // //TEST( SparseMatrixTest, CSR_setLikeTest_Host ) //{ // test_SetLike< CSR_host_int, CSR_host_float >(); //} #ifdef HAVE_CUDA TEST( SparseMatrixTest, CSR_setLikeTest_Cuda ) Loading