vtk-m/vtkm/worklet/internal/CMakeLists.txt
Kenneth Moreland 9409a54191 Make new tetrahedralize functors work on CUDA
The previous implementation was declaring static arrays in methods,
which cannot be used on a CUDA device. Instead, make static tables that
can be passed to the device with array handles (much like clip tables
do).
2015-11-07 10:09:19 -07:00

37 lines
1.2 KiB
CMake

##============================================================================
## Copyright (c) Kitware, Inc.
## All rights reserved.
## See LICENSE.txt for details.
## This software is distributed WITHOUT ANY WARRANTY; without even
## the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
## PURPOSE. See the above copyright notice for more information.
##
## Copyright 2014 Sandia Corporation.
## Copyright 2014 UT-Battelle, LLC.
## Copyright 2014 Los Alamos National Security.
##
## Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
## the U.S. Government retains certain rights in this software.
##
## Under the terms of Contract DE-AC52-06NA25396 with Los Alamos National
## Laboratory (LANL), the U.S. Government retains certain rights in
## this software.
##============================================================================
set(headers
ClipTables.h
DispatcherBase.h
DispatcherBaseDetailInvoke.h
TriangulateTables.h
WorkletBase.h
)
set_source_files_properties(DispatcherBaseDetailInvoke.h
PROPERTIES VTKm_CANT_BE_HEADER_TESTED TRUE)
vtkm_declare_headers(${headers})
vtkm_pyexpander_generated_file(DispatcherBaseDetailInvoke.h)
add_subdirectory(testing)