// // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions // are met: // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above copyright // notice, this list of conditions and the following disclaimer in the // documentation and/or other materials provided with the distribution. // * Neither the name of NVIDIA CORPORATION nor the names of its // contributors may be used to endorse or promote products derived // from this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR // PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR // CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, // EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, // PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY // OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. // // Copyright (c) 2018 NVIDIA Corporation. All rights reserved. #ifndef APEX_CUDA_CONTEXT_MANAGER_H #define APEX_CUDA_CONTEXT_MANAGER_H /** \file \brief The file contains API for PxCudaConextManager public functions */ #include "foundation/Px.h" #include "ApexSDK.h" namespace physx { class PxCudaContextManager; class PxCudaContextManagerDesc; } namespace nvidia { namespace apex { /** * \brief Ask the NVIDIA control panel which GPU has been selected for use by * PhysX. Returns -1 if no PhysX capable GPU is found or GPU PhysX has * been disabled. */ APEX_API int CALL_CONV GetSuggestedCudaDeviceOrdinal(PxErrorCallback& errc); /** * \brief Allocate a CUDA Context manager, complete with heaps and task dispatcher. * You only need one CUDA context manager per GPU device you intend to use for * CUDA tasks. If mgr is NULL, no profiling of CUDA code will be possible. */ APEX_API PxCudaContextManager* CALL_CONV CreateCudaContextManager( const PxCudaContextManagerDesc& desc, PxErrorCallback& errorCallback); } } #endif // APEX_CUDA_CONTEXT_MANAGER_H