Commit e8c17ae5 authored by Jakub Klinkovský's avatar Jakub Klinkovský
Browse files

Removed useless HAVE_CUDA guard, Exceptions::CudaSupportMissing is raised from the Reduction class

parent 72238810

src/TNL/Containers/Algorithms/ArrayOperationsCuda_impl.h

+2 −14
Original line number Diff line number Diff line
@@ -200,15 +200,11 @@ compareMemory( const Element1* destination, 
{

   TNL_ASSERT_TRUE( destination, "Attempted to compare data through a nullptr." );

   TNL_ASSERT_TRUE( source, "Attempted to compare data through a nullptr." );

#ifdef HAVE_CUDA   

   //TODO: The parallel reduction on the CUDA device with different element types is needed.

   bool result = false;

   Algorithms::ParallelReductionEqualities< Element1, Element2 > reductionEqualities;

   Reduction< Devices::Cuda >::reduce( reductionEqualities, size, destination, source, result );

   return result;

#else

   throw Exceptions::CudaSupportMissing();

#endif   

}



template< typename Element,
@@ -221,16 +217,12 @@ containsValue( const Element* data, 
{

   TNL_ASSERT_TRUE( data, "Attempted to check data through a nullptr." );

   TNL_ASSERT_GE( size, 0, "" );

#ifdef HAVE_CUDA

   if( size == 0 ) return false;

   bool result = false;

   Algorithms::ParallelReductionContainsValue< Element > reductionContainsValue;

   reductionContainsValue.setValue( value );

   Reduction< Devices::Cuda >::reduce( reductionContainsValue, size, data, 0, result );

   return result;

#else

   throw Exceptions::CudaSupportMissing();

#endif

}



template< typename Element,
@@ -243,16 +235,12 @@ containsOnlyValue( const Element* data, 
{

   TNL_ASSERT_TRUE( data, "Attempted to check data through a nullptr." );

   TNL_ASSERT_GE( size, 0, "" );

#ifdef HAVE_CUDA

   if( size == 0 ) return false;

   bool result = false;

   Algorithms::ParallelReductionContainsOnlyValue< Element > reductionContainsOnlyValue;

   reductionContainsOnlyValue.setValue( value );

   Reduction< Devices::Cuda >::reduce( reductionContainsOnlyValue, size, data, 0, result );

   return result;

#else

   throw Exceptions::CudaSupportMissing();

#endif

}