CUDA 和 C++ 函数问题 ( Visual Studio 2013)

Question

我试图从 Visual Studio 中的 cpp 文件调用在 cu 文件中定义的 cuda 函数，但我一直收到以下错误。

TomColourCorrectionMain.obj : error LNK2019: unresolved external symbol "public: void __cdecl hwk::TomColourCorrection::brightness(int,int)" (?brightness@TomColourCorrection@hwk@@QEAAXHH@Z) referenced in function "public: virtual void __cdecl hwk::TomColourCorrection::processCore(class std::shared_ptr)" (?processCore@TomColourCorrection@hwk@@UEAAXV?$shared_ptr@VIImageProcessingContext@hwk@@@std@@@Z)

现在通过阅读与此类似的其他问题，我了解到它与函数的定义方式有关并且那里有问题但是当我在头文件和 cuda 文件中定义时我看不到它.

这是我的代码（我是 CUDA 的新手，但我可以很好地编译 CUDA，并且当我不在 C++ 中调用此函数时代码运行）：

头文件

#pragma once

#include "ImageProcessorWithProperties.h"
#include <iostream>
#include <cuda_runtime.h>
#include    <cuda.h>

class TomColourCorrection : public ImageProcessorWithProperties, public      PropertyConsumer<TomColourCorrection>{
public: TomColourCorrection(PropNodePtr n, std::function<void()> requestReprocess);

    virtual void processCore(IImageProcessingContextPtr context);

static void DeclareSettings(hwk::PropNodePtr n);

virtual ~TomColourCorrection();

void brightness(int iw, int ih); (function I am talking about)
};
 }

带有函数调用的cpp文件 //它只是重要代码的一部分，因为其余部分对于实际函数本身来说不是必需的

 #include "stdafx.h"
 #include "TomColourCorrection.h"

 #include <opencv2/imgproc/imgproc.hpp>
 #include <cv.h>
 #include <highgui.h>
 #include <opencv2/core/core.hpp>
 #include <opencv2/highgui/highgui.hpp>
 #include <iostream>

 #include <cuda_runtime.h>
 #include   <cuda.h>

 namespace hwk{ 

    TomColourCorrection::TomColourCorrection(PropNodePtr n, std::function<void()> requestReprocess) :
ImageProcessorWithProperties("sandbox", n, requestReprocess),
PropertyConsumer<TomColourCorrection>(n)
{

 }

void TomColourCorrection::processCore(IImageProcessingContextPtr context){



 brightness(16, 16); (just generic numbers at the moment as I am trying to resolve this issue etc)
    }
  }

CUDA 文件和函数定义

#include "TomColourCorrection.h"
#include "device_launch_parameters.h"

__global__ void brightness_kernel(int iw, int ih)
{
// Calculate our pixel's location
int x = (blockIdx.x * blockDim.x) + threadIdx.x;
int y = (blockIdx.y * blockDim.y) + threadIdx.y;

// Variables to store the sum
int count = 0;
float sum = 0.0;

// Do the blur operation by summing the surround pixels
/*  for (int j = -(bh / 2); j <= (bh / 2); j++)
{
    for (int i = -(bw / 2); i <= (bw / 2); i++)
    {
        // Verify that this offset is within the image boundaries
        if ((x + i) < iw && (x + i) >= 0 && (y + j) < ih && (y + j) >= 0)
        {
            sum += (float)source[((y + j) * iw) + (x + i)];
            count++;
        }
    }
}*/

// Average the sum
sum /= (float)count;
//  dest[(y * iw) + x] = (unsigned char)sum;
}



void brightness(int iw, int ih) //, unsigned char *source, unsigned char *dest)
{
// allocate memory for the bitmap in GPU memory
unsigned char *dev_source, *dev_dest;
//  cudaHostGetDevicePointer(&dev_source, source, 0);
//  cudaHostGetDevicePointer(&dev_dest, dest, 0);

// Run the boxfilter kernel
dim3 blocks(iw / 16, ih / 16);
dim3 threads(16, 16);

// Execute the kernel
brightness_kernel << <blocks, threads >> >(iw, ih);
cudaThreadSynchronize();
}

Answer 1

我认为你需要改变

void brightness(int iw, int ih)

至

void TomColourCorrection::brightness(int iw, int ih)

并将实现移至您的头文件或 .cpp 文件。

Answer 2

像这样修改TomColourCorrection.h：

#pragma once

#include "ImageProcessorWithProperties.h"
#include <iostream>
#include <cuda_runtime.h>
#include    <cuda.h>

void brightness_wrapper(int, int);
class TomColourCorrection : public ImageProcessorWithProperties, public      PropertyConsumer<TomColourCorrection>{

  public: 
    TomColourCorrection(PropNodePtr n, std::function<void()> requestReprocess);

    virtual void processCore(IImageProcessingContextPtr context);

    static void DeclareSettings(hwk::PropNodePtr n);

    virtual ~TomColourCorrection();

    void brightness(int iw, int ih); 
};

像这样修改你的 cpp 文件：

 #include "stdafx.h"
 #include "TomColourCorrection.h"

 #include <opencv2/imgproc/imgproc.hpp>
 #include <cv.h>
 #include <highgui.h>
 #include <opencv2/core/core.hpp>
 #include <opencv2/highgui/highgui.hpp>
 #include <iostream>

 #include <cuda_runtime.h>
 #include   <cuda.h>

 namespace hwk{ 

    void TomColourCorrection::brightness(int iw, int ih){
      brightness_wrapper(iw, ih);}

    TomColourCorrection::TomColourCorrection(PropNodePtr n, std::function<void()> requestReprocess) : ImageProcessorWithProperties("sandbox", n, requestReprocess),  PropertyConsumer<TomColourCorrection>(n)
      {

      }

    void TomColourCorrection::processCore(IImageProcessingContextPtr context){
        brightness(16, 16); 
    }
  }

然后在您的 cuda 文件中更改为：

void brightness(int iw, int ih) //, unsigned char *source, unsigned char *dest)

对此：

void brightness_wrapper(int iw, int ih) //, unsigned char *source, unsigned char *dest)

这主要是在拼写 Ryck 的答案的细节。

CUDA 和 C++ 函数问题 ( Visual Studio 2013)

CUDA and C++ function problems ( Visual Studio 2013)

c++

cuda

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