我在尝试将Qt与CUDA集成时遇到了问题。我在安装了64位CUDA工具包的64Bit Mac上运行，但是当我尝试构建我的代码时，会抛出错误ld: file not found: @rpath/CUDA.framework/Versions/A/CUDA for architecture x86_64。
我已经验证了所有路径，但同样的错误一直被抛出。我的.pro配置代码如下：
QT += core gui
QT += multimedia
QT += multimediawidgets
QT += concurrent
greaterThan(QT_MAJOR_VERSION, 4): QT += widgets
TARGET = WebcamFilter
TEMPLATE = app
SOURCES += main.cpp\
mainwindow.cpp \
camerafeed.cpp \
HEADERS += mainwindow.h \
camerafeed.h
FORMS += mainwindow.ui
# CUDA Resources
CUDA_SOURCES += gaussian.cu
CUDA_DIR = /usr/local/cuda
# Path to header and lib files
INCLUDEPATH += $$CUDA_DIR/include
QMAKE_LIBDIR += $$CUDA_DIR/lib
# Libs used for source code
LIBS += -lcudart -lcuda
# GPU Architecture
CUDA_ARCH = sm_20
# Custom flags for nvcc
NVCCFLAGS = --compiler-options -fno-strict-aliasing -use_fast_math --ptxas-options=-v
# Prepare extra compiler configuration
CUDA_INC = $$join(INCLUDEPATH,' -I','-I',' ')
cuda.commands = $$CUDA_DIR/bin/nvcc -m64 -O3 -arch=$$CUDA_ARCH -c $$NVCCFLAGS \
$$CUDA_INC $$LIBS ${QMAKE_FILE_NAME} -o ${QMAKE_FILE_OUT} \
2>&1 | sed -r \"s/\\(([0-9]+)\\)/:\\1/g\" 1>&2
cuda.dependency_type = TYPE_C
cuda.depend_command = $$CUDA_DIR/bin/nvcc -O3 -M $$CUDA_INC $$NVCCFLAGS ${QMAKE_FILE_NAME}
cuda.input = CUDA_SOURCES
cuda.output = ${OBJECTS_DIR}${QMAKE_FILE_BASE}_cuda.o
# Tell Qt that we want add more stuff to the Makefile
QMAKE_EXTRA_COMPILERS += cuda
答案 0 :(得分：2)
几个月前我遇到过这个问题（加上其他一些问题在修复之后）所以我认为我现在已经发布了一个完全正常的QT / CUDA示例。对于Linux和Mac，我从大project中提取了大部分.pro文件（CUDA内容在gpu文件夹中），但这段代码只在OS X上测试过。
我目前正在使用：
CUDA 7.0驱动程序V7.0.27
OS X Yosemite 10.10.3
QT 5.3.1
如果您最近没有更新，请确保在尝试此代码之前，CUDA deviceQuery 和 bandwidthTest 示例仍然有效。
下面的.pro文件可能是您解决问题所需的全部内容，但C ++代码也在下面。代码注释完成了大部分解释。
#-------------------------------------------------
#
# Project created by QtCreator 2015-05-02T02:37:39
#
#-------------------------------------------------
QT += core gui
greaterThan(QT_MAJOR_VERSION, 4): QT += widgets
TARGET = qtcuda
TEMPLATE = app
# project build directories (if not using shadow build)
DESTDIR = $$system(pwd)
BUILDDIR = $$DESTDIR/build
MOC_DIR = $$BUILDDIR # moc_... files
UI_DIR = $$BUILDDIR # ui_mainwindow.cpp
OBJECTS_DIR = $$BUILDDIR/bin # .o binary files
SOURCES += main.cpp\
mainwindow.cpp
HEADERS += mainwindow.h
FORMS += mainwindow.ui
# NOTE: C++ flags are needed here for
# the CUDA Thrust library
############### UNIX FLAGS #####################
unix {
QMAKE_CXXFLAGS += -std=c++11
}
############### MAC FLAGS #####################
macx {
# libs that don't get passed to nvcc (we'll remove them from LIBS later)
NON_CUDA_LIBS += -stdlib=libc++
LIBS += $$NON_CUDA_LIBS
QMAKE_CXXFLAGS += -stdlib=libc++ -mmacosx-version-min=10.7
QMAKE_LFLAGS += -mmacosx-version-min=10.7
QMAKE_MACOSX_DEPLOYMENT_TARGET = 10.7
# specific to computers without older sdks
MAC_SDK = /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.9. sdk/
if( exists( $$MAC_SDK) ) {
QMAKE_MAC_SDK = macosx10.9 # lowest sdk on my computer :/
}
# don't show warnings for c++11 extentions
QMAKE_CXXFLAGS += -Wno-c++11-extensions
}
################### CUDA ###################### (similar to your setup)
unix:!macx {
SED_STUFF = 2>&1 | sed -r \"s/\\(([0-9]+)\\)/:\\1/g\" 1>&2
}
macx {
SED_STUFF = 2>&1 | sed -E \"s/\\(([0-9]+)\\)/:\\1/g\" 1>&2
}
CUDA_DIR = /usr/local/cuda
# make sure cuda is available on the computer
if ( exists( $$CUDA_DIR/ ) ) {
message( "Configuring for cuda...");
DEFINES += CUDA_7 # # same as putting this in code -> #define CUDA_7
# Cuda sources
CUDA_SOURCES += cuda/wrappers.cu
# show files in working tree
OTHER_FILES += cuda/wrappers.cu \
cuda/wrappers.cuh \
cuda/helper_cuda.h
# Path to cuda install
CUDA_LIB = $$CUDA_DIR/lib
# Pather to header and lib files
INCLUDEPATH += $$CUDA_DIR/include \
cuda # my cuda files
QMAKE_LIBDIR += $$CUDA_LIB
# prevents warnings from code we didn't write
QMAKE_CXXFLAGS += -isystem $$CUDA_DIR/include
LIBS += -lcudart # add other cuda libs here (-lcublas -lcurand, etc.)
# SPECIFY THE R PATH FOR NVCC!!!!! (your problem...previously my problem)
QMAKE_LFLAGS += -Wl,-rpath,$$CUDA_LIB
NVCCFLAGS = -Xlinker -rpath,$$CUDA_LIB
# libs used in the code
CUDA_LIBS = $$LIBS
CUDA_LIBS -= $$NON_CUDA_LIBS # remove libs nvcc won't recognize
# GPU architecture (might be a way to detect this somehow instead of hardcoding)
CUDA_ARCH = sm_20 # <- based on specs from your code. This was tested with sm_30
# Some default NVCC flags
NVCCFLAGS += --compiler-options -fno-strict-aliasing -use_fast_math --ptxas-options=-v --std=c++11
# Prepare the extra compiler configuration (taken from the nvidia forum)
CUDA_INC = $$join(INCLUDEPATH,' -I','-I',' ')
cuda.commands = $$CUDA_DIR/bin/nvcc -m64 -O3 -arch=$$CUDA_ARCH -c $$NVCCFLAGS \
$$CUDA_INC $$CUDA_LIBS ${QMAKE_FILE_NAME} -o ${QMAKE_FILE_OUT} \
$$SED_STUFF
# nvcc error printout format ever so slightly different from gcc
# http://forums.nvidia.com/index.php?showtopic=171651
cuda.dependency_type = TYPE_C
cuda.depend_command = $$CUDA_DIR/bin/nvcc -O3 -M $$CUDA_INC $$NVCCFLAGS ${QMAKE_FILE_NAME}
cuda.input = CUDA_SOURCES
cuda.output = ${OBJECTS_DIR}${QMAKE_FILE_BASE}_cuda.o
# Tell Qt that we want add more stuff to the Makefile
QMAKE_EXTRA_COMPILERS += cuda
} # endif CUDA
以下两个文件由用于执行CUDA代码的外部函数组成。 .cu文件定义包含CUDA代码的函数，并使用NVCC进行编译（如.pro文件中所指定）。 .cuh文件用作头文件，只是声明相同的函数，以便C ++文件可以引用它们。只有wrappers.cuh需要包含在C ++代码中。
注意：可以找到引用的helper_cuda.h文件here
NoteNote ：此项目假设wrappers.cuh，wrappers.cu和helper_cuda.h保存在项目目录中标有cuda的文件夹中。< / p>
#ifndef WRAPPERS_CUH
#define WRAPPERS_CUH
typedef unsigned int uint;
extern "C"
{
void cudaInit();
void allocateArray(void **devPtr, int size);
void freeArray(void *devPtr);
void copyArrayToDevice(void *device, const void *host, int offset, int size);
void copyArrayFromDevice(void *host, const void *device, int size);
uint sumNumbers(uint *dNumbers, uint n);
// not used here but useful when calling kernel functions
void computeGridSize(uint n, uint blockSize, uint &numBlocks, uint &numThreads);
}
#endif // WRAPPERS_CUH
#include <cuda_runtime.h>
#include <cuda_gl_interop.h>
#include <thrust/device_ptr.h>
#include <thrust/reduce.h>
#include "helper_cuda.h"
typedef unsigned int uint;
extern "C"
{
void cudaInit()
{
int devID;
// use device with highest Gflops/s
devID = findCudaDevice();
if (devID < 0)
{
printf("No CUDA Capable devices found, exiting...\n");
exit(EXIT_SUCCESS);
}
}
void allocateArray(void **devPtr, size_t size)
{
checkCudaErrors(cudaMalloc(devPtr, size));
}
void freeArray(void *devPtr)
{
checkCudaErrors(cudaFree(devPtr));
}
void copyArrayToDevice(void *device, const void *host, int offset, int size)
{
checkCudaErrors(cudaMemcpy((char *) device + offset, host, size, cudaMemcpyHostToDevice));
}
void copyArrayFromDevice(void *host, const void *device, int size)
{
checkCudaErrors(cudaMemcpy(host, device, size, cudaMemcpyDeviceToHost));
}
uint sumNumbers(uint *dNumbers, uint n)
{
// simple reduction from 1 to n
thrust::device_ptr<uint> dp_numbers(dNumbers);
return thrust::reduce(dp_numbers, dp_numbers + n);
}
//Round a / b to nearest higher integer value
uint iDivUp(uint a, uint b)
{
return (a % b != 0) ? (a / b + 1) : (a / b);
}
// compute grid and thread block size for a given number of elements
void computeGridSize(uint n, uint blockSize, uint &numBlocks, uint &numThreads)
{
numThreads = min(blockSize, n);
numBlocks = iDivUp(n, numThreads);
}
}
接下来的三个文件创建一个简单的QT窗口并检查鼠标事件。每次移动鼠标时，X和Y像素位置都会相加，以创建 n 。然后使用CUDA函数来查找 1 + 2 + ... + n （是的，这是奇怪和随机的;重点是显示CUDA以快速简便的方式运行）。
因此，如果鼠标位于（23,45），那么：
n =（23 + 45）= 68 和
1 + 2 + ... + n = 2346
然后显示在窗口的底部。
#include "mainwindow.h"
#include <QApplication>
int main(int argc, char *argv[])
{
QApplication a(argc, argv);
MainWindow w;
w.show();
return a.exec();
}
#ifndef MAINWINDOW_H
#define MAINWINDOW_H
#include <QMainWindow>
namespace Ui {
class MainWindow;
}
class MainWindow : public QMainWindow
{
Q_OBJECT
public:
explicit MainWindow(QWidget *parent = 0);
~MainWindow();
// events are passed here
virtual bool eventFilter(QObject *obj, QEvent *event);
private:
Ui::MainWindow *ui;
uint *m_dNumbers; // device array
};
#endif // MAINWINDOW_H
#include "mainwindow.h"
#include "ui_mainwindow.h"
#include <QEvent>
#include <QMouseEvent>
#include <assert.h>
#include "wrappers.cuh"
const uint MAX_NUMBERS = 5000;
MainWindow::MainWindow(QWidget *parent) :
QMainWindow(parent),
ui(new Ui::MainWindow)
{
// basic ui setup and event filter for mouse movements
ui->setupUi(this);
qApp->installEventFilter(this);
// create a host array and initialize it to {1, 2, 3, ..., MAX_NUMBERS}
uint hNumbers[MAX_NUMBERS];
for (uint i = 0; i < MAX_NUMBERS; i++)
{
hNumbers[i] = i + 1;
}
// CUDA FUNCTIONS:
cudaInit(); // initialiaze the cuda device
allocateArray((void**)&m_dNumbers, MAX_NUMBERS*sizeof(int)); // allocate device array
copyArrayToDevice(m_dNumbers, hNumbers, 0, MAX_NUMBERS*sizeof(int)); // copy host array to device array
}
MainWindow::~MainWindow()
{
// CUDA FUNCTION: free device memory
freeArray(m_dNumbers);
delete ui;
}
// used to detect mouse movement events
bool MainWindow::eventFilter(QObject *, QEvent *event)
{
if (event->type() == QEvent::MouseMove)
{
// find mouseX + mouseY
QMouseEvent *mouseEvent = static_cast<QMouseEvent*>(event);
QPoint p = mouseEvent->pos();
uint n = std::min((uint)(p.x() + p.y()), MAX_NUMBERS);
// CUDA FUNCTION:
// compute the sum of 1 + 2 + 3 + ... + n
uint sum = sumNumbers(m_dNumbers, n);
// check that the sum is correct
assert(sum == ( (n * (n+1) ) / 2 ) );
// show the sum at the bottom of the window
statusBar()->showMessage(QString("Mouse pos: (%1, %2) Sum from 0 to %3 = %4").arg(p.x()).arg(p.y()). arg(n).arg(sum));
}
return false;
}
如果您想要实际构建和运行项目，最后但并非最不重要的是.ui文件：
<?xml version="1.0" encoding="UTF-8"?>
<ui version="4.0">
<class>MainWindow</class>
<widget class="QMainWindow" name="MainWindow">
<property name="geometry">
<rect>
<x>0</x>
<y>0</y>
<width>400</width>
<height>300</height>
</rect>
</property>
<property name="windowTitle">
<string>MainWindow</string>
</property>
<widget class="QWidget" name="centralWidget"/>
<widget class="QMenuBar" name="menuBar">
<property name="geometry">
<rect>
<x>0</x>
<y>0</y>
<width>400</width>
<height>22</height>
</rect>
</property>
</widget>
<widget class="QToolBar" name="mainToolBar">
<attribute name="toolBarArea">
<enum>TopToolBarArea</enum>
</attribute>
<attribute name="toolBarBreak">
<bool>false</bool>
</attribute>
</widget>
<widget class="QStatusBar" name="statusBar"/>
</widget>
<layoutdefault spacing="6" margin="11"/>
<resources/>
<connections/>
</ui>
我知道QT / CUDA过程可能很烦人，而且自从你提出这个问题以来已经过了半年的沉默，但希望这会有所帮助。