Fixed catching of std::bad_alloc in SpMV benchmark.

src/Benchmarks/SpMV/spmv.h

@@ -40,11 +40,11 @@ using SlicedEllpackAlias = Matrices::SlicedEllpack< Real, Device, Index >;
 std::string getMatrixFileName( const String& InputFileName )
 {
     std::string fileName = InputFileName;
-    
+
     const size_t last_slash_idx = fileName.find_last_of( "/\\" );
     if( std::string::npos != last_slash_idx )
         fileName.erase( 0, last_slash_idx + 1 );
-    
+
     return fileName;
 }
 
@@ -55,7 +55,7 @@ std::string getMatrixFormat( const Matrix& matrix )
     std::string mtrxFullType = getType( matrix );
     std::string mtrxType = mtrxFullType.substr( 0, mtrxFullType.find( "<" ) );
     std::string format = mtrxType.substr( mtrxType.find( ':' ) + 2 );
-    
+
     return format;
 }
 
@@ -63,7 +63,7 @@ std::string getMatrixFormat( const Matrix& matrix )
 template< typename Matrix >
 void printMatrixInfo( const Matrix& matrix,
                       std::ostream& str )
-{    
+{
     str << "\n Format: " << getMatrixFormat( matrix ) << std::endl;
     str << " Rows: " << matrix.getRows() << std::endl;
     str << " Cols: " << matrix.getColumns() << std::endl;
@@ -81,67 +81,67 @@ benchmarkSpMV( Benchmark& benchmark,
     // Setup CSR for cuSPARSE. It will compared to the format given as a template parameter to this function
     typedef Matrices::CSR< Real, Devices::Host, int > CSR_HostMatrix;
     typedef Matrices::CSR< Real, Devices::Cuda, int > CSR_DeviceMatrix;
-    
+
     CSR_HostMatrix CSRhostMatrix;
     CSR_DeviceMatrix CSRdeviceMatrix;
-    
+
     // Read the matrix for CSR, to set up cuSPARSE
     try
-      {         
+      {
          if( ! MatrixReader< CSR_HostMatrix >::readMtxFile( inputFileName, CSRhostMatrix, verboseMR ) )
-         { 
+         {
              throw std::bad_alloc();
              return false;
          }
       }
-      catch( std::bad_alloc e )
+      catch( std::bad_alloc& e )
       {
           e.what();
           return false;
       }
-    
+
 #ifdef HAVE_CUDA
     // cuSPARSE handle setup
     cusparseHandle_t cusparseHandle;
     cusparseCreate( &cusparseHandle );
-    
+
     // cuSPARSE (in TNL's CSR) only works for device, copy the matrix from host to device
     CSRdeviceMatrix = CSRhostMatrix;
-    
+
     // Delete the CSRhostMatrix, so it doesn't take up unnecessary space
     CSRhostMatrix.reset();
-    
+
     // Initialize the cusparseCSR matrix.
     TNL::CusparseCSR< Real > cusparseCSR;
     cusparseCSR.init( CSRdeviceMatrix, &cusparseHandle );
 #endif
-    
+
     // Setup the format which is given as a template parameter to this function
     typedef Matrix< Real, Devices::Host, int > HostMatrix;
     typedef Matrix< Real, Devices::Cuda, int > DeviceMatrix;
     typedef Containers::Vector< Real, Devices::Host, int > HostVector;
     typedef Containers::Vector< Real, Devices::Cuda, int > CudaVector;
-    
+
     HostMatrix hostMatrix;
     DeviceMatrix deviceMatrix;
     HostVector hostVector, hostVector2;
     CudaVector deviceVector, deviceVector2;
-    
+
     // Load the format
     try
-      {         
+      {
          if( ! MatrixReader< HostMatrix >::readMtxFile( inputFileName, hostMatrix, verboseMR ) )
          {
              throw std::bad_alloc();
              return false;
          }
       }
-      catch( std::bad_alloc e )
+      catch( std::bad_alloc& e )
       {
           e.what();
           return false;
       }
-    
+
 
     // Setup MetaData here (not in tnl-benchmark-spmv.h, as done in Benchmarks/BLAS),
     //  because we need the matrix loaded first to get the rows and columns
@@ -191,17 +191,17 @@ benchmarkSpMV( Benchmark& benchmark,
 
     benchmark.setOperation( datasetSize );
     benchmark.time< Devices::Host >( reset, "CPU", spmvHost );
-    
+
     // Initialize the host vector to be compared.
     //  (The values in hostVector2 will be reset when spmvCuda starts)
     HostVector resultHostVector2;
     resultHostVector2.setSize( hostVector2.getSize() );
     resultHostVector2.setValue( 0.0 );
-    
+
     // Copy the values
     resultHostVector2 = hostVector2;
-    
-    // Setup cuSPARSE MetaData, since it has the same header as CSR, 
+
+    // Setup cuSPARSE MetaData, since it has the same header as CSR,
     //  and therefore will not get its own headers (rows, cols, speedup etc.) in log.
     //      * Not setting this up causes (among other undiscovered errors) the speedup from CPU to GPU on the input format to be overwritten.
     benchmark.setMetadataColumns( Benchmark::MetadataColumns({
@@ -211,7 +211,7 @@ benchmarkSpMV( Benchmark& benchmark,
           { "columns", convertToString( hostMatrix.getColumns() ) },
           { "matrix format", convertToString( "CSR-cuSPARSE" ) }
        } ));
-    
+
 #ifdef HAVE_CUDA
     benchmark.time< Devices::Cuda >( reset, "GPU", spmvCuda );
 
@@ -220,51 +220,51 @@ benchmarkSpMV( Benchmark& benchmark,
     HostVector resultDeviceVector2;
     resultDeviceVector2.setSize( deviceVector2.getSize() );
     resultDeviceVector2.setValue( 0.0 );
-    
+
     resultDeviceVector2 = deviceVector2;
-    
+
     benchmark.time< Devices::Cuda >( reset, "GPU", spmvCusparse );
-    
+
     HostVector resultcuSPARSEDeviceVector2;
     resultcuSPARSEDeviceVector2.setSize( deviceVector2.getSize() );
     resultcuSPARSEDeviceVector2.setValue( 0.0 );
-    
+
     resultcuSPARSEDeviceVector2 = deviceVector2;
-    
+
     // Difference between GPU (curent format) and GPU-cuSPARSE results
     //Real cuSparseDifferenceAbsMax = resultDeviceVector2.differenceAbsMax( resultcuSPARSEDeviceVector2 );
     Real cuSparseDifferenceAbsMax = max( abs( resultDeviceVector2 - resultcuSPARSEDeviceVector2 ) );
     //Real cuSparseDifferenceLpNorm = resultDeviceVector2.differenceLpNorm( resultcuSPARSEDeviceVector2, 1 );
     Real cuSparseDifferenceLpNorm = lpNorm( resultDeviceVector2 - resultcuSPARSEDeviceVector2, 1 );
-    
+
     std::string GPUxGPUcuSparse_resultDifferenceAbsMax = "GPUxGPUcuSPARSE differenceAbsMax = " + std::to_string( cuSparseDifferenceAbsMax );
     std::string GPUxGPUcuSparse_resultDifferenceLpNorm = "GPUxGPUcuSPARSE differenceLpNorm = " + std::to_string( cuSparseDifferenceLpNorm );
-    
+
     char *GPUcuSparse_absMax = &GPUxGPUcuSparse_resultDifferenceAbsMax[ 0u ];
     char *GPUcuSparse_lpNorm = &GPUxGPUcuSparse_resultDifferenceLpNorm[ 0u ];
-    
-    
+
+
     // Difference between CPU and GPU results for the current format
     //Real differenceAbsMax = resultHostVector2.differenceAbsMax( resultDeviceVector2 );
     Real differenceAbsMax = max( abs( resultHostVector2 - resultDeviceVector2 ) );
     //Real differenceLpNorm = resultHostVector2.differenceLpNorm( resultDeviceVector2, 1 );
     Real differenceLpNorm = lpNorm( resultHostVector2 - resultDeviceVector2, 1 );
-    
+
     std::string CPUxGPU_resultDifferenceAbsMax = "CPUxGPU differenceAbsMax = " + std::to_string( differenceAbsMax );
     std::string CPUxGPU_resultDifferenceLpNorm = "CPUxGPU differenceLpNorm = " + std::to_string( differenceLpNorm );
-    
+
     char *CPUxGPU_absMax = &CPUxGPU_resultDifferenceAbsMax[ 0u ];
     char *CPUxGPU_lpNorm = &CPUxGPU_resultDifferenceLpNorm[ 0u ];
-    
+
     // Print result differences of CPU and GPU of current format
     std::cout << CPUxGPU_absMax << std::endl;
     std::cout << CPUxGPU_lpNorm << std::endl;
-    
+
     // Print result differences of GPU of current format and GPU with cuSPARSE.
     std::cout << GPUcuSparse_absMax << std::endl;
     std::cout << GPUcuSparse_lpNorm << std::endl;
  #endif
-    
+
     std::cout << std::endl;
     return true;
 }
@@ -277,11 +277,11 @@ benchmarkSpmvSynthetic( Benchmark& benchmark,
                         bool verboseMR )
 {
    bool result = true;
-   result |= benchmarkSpMV< Real, Matrices::CSR >( benchmark, inputFileName, verboseMR );   
+   result |= benchmarkSpMV< Real, Matrices::CSR >( benchmark, inputFileName, verboseMR );
    result |= benchmarkSpMV< Real, Matrices::Ellpack >( benchmark, inputFileName, verboseMR );
    result |= benchmarkSpMV< Real, SlicedEllpackAlias >( benchmark, inputFileName, verboseMR );
    result |= benchmarkSpMV< Real, Matrices::ChunkedEllpack >( benchmark, inputFileName, verboseMR );
-   
+
    // AdEllpack is broken
 //   result |= benchmarkSpMV< Real, Matrices::AdEllpack >( benchmark, inputFileName, verboseMR );
    result |= benchmarkSpMV< Real, Matrices::BiEllpack >( benchmark, inputFileName, verboseMR );