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187 lines
7.2 KiB
C
187 lines
7.2 KiB
C
/* Copyright 2009-2021 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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*
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* NOTICE TO LICENSEE:
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*
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* The source code and/or documentation ("Licensed Deliverables") are
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* subject to NVIDIA intellectual property rights under U.S. and
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* international Copyright laws.
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*
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* The Licensed Deliverables contained herein are PROPRIETARY and
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* CONFIDENTIAL to NVIDIA and are being provided under the terms and
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* conditions of a form of NVIDIA software license agreement by and
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* between NVIDIA and Licensee ("License Agreement") or electronically
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* accepted by Licensee. Notwithstanding any terms or conditions to
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* the contrary in the License Agreement, reproduction or disclosure
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* of the Licensed Deliverables to any third party without the express
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* written consent of NVIDIA is prohibited.
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*
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* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
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* LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
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* SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. THEY ARE
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* PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
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* NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
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* DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
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* NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
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* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
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* LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
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* SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
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* DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
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* WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
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* ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
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* OF THESE LICENSED DELIVERABLES.
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*
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* U.S. Government End Users. These Licensed Deliverables are a
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* "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
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* 1995), consisting of "commercial computer software" and "commercial
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* computer software documentation" as such terms are used in 48
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* C.F.R. 12.212 (SEPT 1995) and are provided to the U.S. Government
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* only as a commercial end item. Consistent with 48 C.F.R.12.212 and
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* 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
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* U.S. Government End Users acquire the Licensed Deliverables with
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* only those rights set forth herein.
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*
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* Any use of the Licensed Deliverables in individual and commercial
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* software must include, in the user documentation and internal
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* comments to the code, the above Disclaimer and U.S. Government End
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* Users Notice.
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*/
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#ifndef NV_NPPCORE_H
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#define NV_NPPCORE_H
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#include <cuda_runtime_api.h>
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/**
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* \file nppcore.h
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* Basic NPP functionality.
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* This file contains functions to query the NPP version as well as
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* info about the CUDA compute capabilities on a given computer.
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*/
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#include "nppdefs.h"
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#ifdef __cplusplus
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extern "C" {
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#endif
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/** \defgroup core_npp NPP Core
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* Basic functions for library management, in particular library version
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* and device property query functions.
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* @{
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*/
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/**
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* Get the NPP library version.
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*
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* \return A struct containing separate values for major and minor revision
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* and build number.
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*/
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const NppLibraryVersion *
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nppGetLibVersion(void);
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/**
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* Get the number of Streaming Multiprocessors (SM) on the active CUDA device.
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*
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* \return Number of SMs of the default CUDA device.
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*/
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int
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nppGetGpuNumSMs(void);
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/**
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* Get the maximum number of threads per block on the active CUDA device.
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*
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* \return Maximum number of threads per block on the active CUDA device.
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*/
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int
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nppGetMaxThreadsPerBlock(void);
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/**
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* Get the maximum number of threads per SM for the active GPU
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*
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* \return Maximum number of threads per SM for the active GPU
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*/
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int
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nppGetMaxThreadsPerSM(void);
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/**
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* Get the maximum number of threads per SM, maximum threads per block, and number of SMs for the active GPU
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*
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* \return cudaSuccess for success, -1 for failure
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*/
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int
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nppGetGpuDeviceProperties(int * pMaxThreadsPerSM, int * pMaxThreadsPerBlock, int * pNumberOfSMs);
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/**
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* Get the name of the active CUDA device.
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*
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* \return Name string of the active graphics-card/compute device in a system.
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*/
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const char *
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nppGetGpuName(void);
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/**
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* Get the NPP CUDA stream.
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* NPP enables concurrent device tasks via a global stream state varible.
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* The NPP stream by default is set to stream 0, i.e. non-concurrent mode.
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* A user can set the NPP stream to any valid CUDA stream. All CUDA commands
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* issued by NPP (e.g. kernels launched by the NPP library) are then
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* issed to that NPP stream.
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*/
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cudaStream_t
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nppGetStream(void);
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/**
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* Get the current NPP managed CUDA stream context as set by calls to nppSetStream().
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* NPP enables concurrent device tasks via an NPP maintained global stream state context.
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* The NPP stream by default is set to stream 0, i.e. non-concurrent mode.
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* A user can set the NPP stream to any valid CUDA stream which will update the current NPP managed stream state context
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* or supply application initialized stream contexts to NPP calls. All CUDA commands
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* issued by NPP (e.g. kernels launched by the NPP library) are then
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* issed to the current NPP managed stream or to application supplied stream contexts depending on whether
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* the stream context is passed to the NPP function or not. NPP managed stream context calls (those without stream context parameters)
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* can be intermixed with application managed stream context calls but any NPP managed stream context calls will always use the most recent
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* stream set by nppSetStream() or the NULL stream if nppSetStream() has never been called.
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*/
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NppStatus
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nppGetStreamContext(NppStreamContext * pNppStreamContext);
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/**
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* Get the number of SMs on the device associated with the current NPP CUDA stream.
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* NPP enables concurrent device tasks via a global stream state varible.
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* The NPP stream by default is set to stream 0, i.e. non-concurrent mode.
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* A user can set the NPP stream to any valid CUDA stream. All CUDA commands
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* issued by NPP (e.g. kernels launched by the NPP library) are then
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* issed to that NPP stream. This call avoids a cudaGetDeviceProperties() call.
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*/
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unsigned int
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nppGetStreamNumSMs(void);
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/**
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* Get the maximum number of threads per SM on the device associated with the current NPP CUDA stream.
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* NPP enables concurrent device tasks via a global stream state varible.
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* The NPP stream by default is set to stream 0, i.e. non-concurrent mode.
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* A user can set the NPP stream to any valid CUDA stream. All CUDA commands
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* issued by NPP (e.g. kernels launched by the NPP library) are then
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* issed to that NPP stream. This call avoids a cudaGetDeviceProperties() call.
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*/
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unsigned int
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nppGetStreamMaxThreadsPerSM(void);
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/**
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* Set the NPP CUDA stream. This function now returns an error if a problem occurs with Cuda stream management.
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* This function should only be called if a call to nppGetStream() returns a stream number which is different from
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* the desired stream since unnecessarily flushing the current stream can significantly affect performance.
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* \see nppGetStream()
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*/
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NppStatus
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nppSetStream(cudaStream_t hStream);
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/** @} Module LabelCoreNPP */
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#ifdef __cplusplus
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} /* extern "C" */
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#endif
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#endif /* NV_NPPCORE_H */
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