Error Lnk2019 Unresolved External Symbol _ Cudamalloc
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Error Lnk2019 Unresolved External Symbol Winmain@16 Referenced In Function ___tmaincrtstartup
them; it only takes a minute: Sign up error LNK2019: unresolved external symbol NvAPI_GPU_GetThermalSettings referenced in up vote 0 down vote favorite I'm trying to write a simple code for getting some information from my GPU (NVidia Geforce 760 GTX) such as temperature using NVAPI. I started with CUDA sample codes. Maybe you see these sample codes provided by error lnk2019 unresolved external symbol visual studio 2010 NVidia. I copied one of the sample codes ('CUDA Samples\v6.5\0_Simple\vectorAdd') to write in this sample. I copied all of '.h' files of NVAPI to 'CUDA Samples\v6.5\common\inc' and copied 'nvapi.lib' to 'CUDA Samples\v6.5\common\lib\Win32' and copied 'nvapi64.lib' to 'CUDA Samples\v6.5\common\lib\x64'. I preformed these copies to 'C:\Program Files\CUDA\v6.5\include' and 'C:\Program Files\CUDA\v6.5\lib'. This is the code I wrote: int _txmain() { NvAPI_Status ret = NVAPI_OK; int i=0; NvDisplayHandle hDisplay_a[NVAPI_MAX_PHYSICAL_GPUS*2] = {0}; ret = NvAPI_Initialize(); if (!ret == NVAPI_OK){ NvAPI_ShortString string; NvAPI_GetErrorMessage(ret, string); printf("NVAPI NvAPI_Initialize: %s\n", string); } NvAPI_ShortString ver; NvAPI_GetInterfaceVersionString(ver); printf("NVAPI Version: %s\n", ver); NvU32 cnt; NvPhysicalGpuHandle phys; ret = NvAPI_EnumPhysicalGPUs(&phys, &cnt); if (!ret == NVAPI_OK){ NvAPI_ShortString string; NvAPI_GetErrorMessage(ret, string); printf("NVAPI NvAPI_EnumPhysicalGPUs: %s\n", string); } NvAPI_ShortString name; NV_GPU_THERMAL_SETTINGS thermal; ret = NvAPI_GPU_GetFullName(phys, name); if (!ret == NVAPI_OK){ NvAPI_ShortString string; NvAPI_GetErrorMessage(ret, string); printf("NVAPI NvAPI_GPU_GetFullName: %s\n", string); } printf("Name: %s\n", name); thermal.version =NV_GPU_THERMAL_SETTINGS_VER; ret = NvAPI_GPU_GetThermalSettings(phys,0, &thermal); if (!ret == NVAPI_OK){ NvAPI_ShortString string; NvAPI_GetErrorMessage(ret, string); printf("NVAPI NvAPI_GPU_GetThermalSettings: %s\n", string); } printf("Temp: %l C\n", thermal.sensor[0].currentTemp); return 0; } But when I build my code I received these errors: Error 28 error LNK2019: unres
here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more error lnk2019 unresolved external symbol public __thiscall referenced in function _main about Stack Overflow the company Business Learn more about hiring developers or posting ads error lnk2019 unresolved external symbol void __cdecl with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow error lnk2019 unresolved external symbol main referenced in function __tmaincrtstartup is a community of 4.7 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up CUDA link error: unresolved external but external is specified in *.cu file http://stackoverflow.com/questions/27472116/error-lnk2019-unresolved-external-symbol-nvapi-gpu-getthermalsettings-reference up vote 1 down vote favorite Using Cuda 5.0, VS2010 This project compiles and links fine in VS2012 but VS2012 does not support Nsight debug so i am also developing in VS2010. So I have a VS2010 project file but am using identical source codes files (.h, .cpp, .cu, .cuh. VS2010 build compiles everything fine, but linking reports error with unresolved external: Generating Code... 1>videoFuncUnThread.obj : error LNK2019: unresolved external http://stackoverflow.com/questions/14328491/cuda-link-error-unresolved-external-but-external-is-specified-in-cu-file symbol _runKernel referenced in function "void __cdecl videoFuncUnThread(int,bool,unsigned int * const)" (?videoFuncUnThread@@YAXH_NQAI@Z) 1>D:\StrApp\Viper1B_10\Viper1B_10\Debug\Viper1B_10.exe : fatal error LNK1120: 1 unresolved externals 1> 1>Build FAILED. 1> the missing symbol, runKernel, is host-side module that calls device side modules (resident in PTX file). when I search for all occurances of runKernel, I get 3 lines: filter.cu(127): extern "C" CUresult runKernel (int numFrames, cudaStream_t stream, bool firstBatch, int* searchLimit) { ... } // module code videofuncunthread.cpp(28): extern "C" CUresult runKernel(int numFrames, cudaStream_t stream, bool firstBatch, int* search); // videofuncunthread.cpp(137): CUresult resultKernel = runKernel( NinBatch, gStream, firstBatch, (int *)searchLimit); since "filter.cu" compiles it means that the invocation line (137) agrees with the prototype declaration (28); also you can see that the definition in filter.cu is identical with the prototype. Finally I note that I have successfully compiled, linked and run examples from the cuda 5.0 samples on VS2010. i have verified that i am using the same Cuda build rules in both projects and that the project properties between my project and the Cuda sample project are the same. any insight or suggestion you can offer would be greatly appreciated. thanks cuda gpu share|improve this question asked Jan 14 '13 at 23:08 JPM 1101112 went back and set warn
CUDA Gets Easier! June 18, 2010 24 Comments Several of my readers have had problems creating CUDA projects in Visual Studio, so I thought I'd update how to do it using the current version of CUDA (3.0 at the time of this writing). The main point: it's a lot easier than the procedure I outlined two years ago. For hardware, I'm now using a Zotac GeForce GT240 card with 96 stream processors that I purchased last year for $90. For my software development environment, I downloaded and installed the Microsoft SDK for Windows Server 2008 and Microsoft Visual C++ 2008 Express Edition. Then I downloaded and installed the NVIDIA Driver 197.13, the CUDA Toolkit 3.0 and the CUDA SDK 3.0 for 32-bit Windows XP. Once everything was set up, the first thing I did was to recompile and run the deviceQuery example in C:\Documents and Settings\All Users\Application Data\NVIDIA Corporation\NVIDIA GPU Computing SDK\C\src\deviceQuery I just double-clicked the deviceQuery_vc90.sln file and the project popped-up in the Visual Studio IDE. I hit F7 to rebuild the program, and then I pressed Ctrl+F5 to run it. The program ran and reported the presence of a GeForce GT 240 in my PC. So far, so good. Next, I created an empty Win32 console application called cuda_example3. I renamed cuda_example3.cpp to cuda_example3.cu because that's where the CUDA kernel source is going. Then I copied the source from my first CUDA program into the file and saved it. Here's the code so you can see it: // cuda_example3.cu : Defines the entry point for the console application. // #include "stdafx.h" #include