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//
// 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
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