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c - 无法为 CUDA C 程序创建工作 Makefile

转载 作者:行者123 更新时间:2023-11-30 18:55:35 24 4
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我有一个由 3 个 CUDA 文件和 2 个 header 组成的简单脚本:main.cukernel.cu func.cu、< em>kernel.h 和 func.h。他们的目标是计算 2 个 vector 的总和。

// main.cu
#include <stdio.h>
#include <stdlib.h>
#include <cuda_runtime.h>
#include <cuda.h>

#include "kernel.h"

int main(){
/* Error code to check return values for CUDA calls */
cudaError_t err = cudaSuccess;

srand(time(NULL));
int count = 100;
int A[count], B[count];
int *h_A, *h_B;
h_A = A; h_B = B;

int i;
for(i=0;i<count;i++){
*(h_A+i) = rand() % count; /* Oppure: h_A[i] = rand() % count; */
*(h_B+i) = rand() % count; /* Oppure: h_B[i] = rand() % count; */
}
/* Display dei vettori A e B. */
printf("\nPrimi cinque valori di A = ");
for(i=0;i<4;i++){printf("%d ", A[i]);}
printf("\nPrimi cinque valori di B = ");
for(i=0;i<4;i++){printf("%d ", B[i]);}


int *d_A, *d_B;

err = cudaMalloc((void**)&d_A, count*sizeof(int));
if (err != cudaSuccess){fprintf(stderr, "Failed to allocate device vector A (error code %s)! \n", cudaGetErrorString(err));exit(EXIT_FAILURE);}
err = cudaMalloc((void**)&d_B, count*sizeof(int));
if (err != cudaSuccess){fprintf(stderr, "Failed to allocate device vector A (error code %s)! \n", cudaGetErrorString(err));exit(EXIT_FAILURE);}

err = cudaMemcpy(d_A, A, count*sizeof(int), cudaMemcpyHostToDevice);
if (err != cudaSuccess){fprintf(stderr, "Failed to copy vector A from host to device (error code %s)!\n", cudaGetErrorString(err));exit(EXIT_FAILURE);}
err = cudaMemcpy(d_B, B, count*sizeof(int), cudaMemcpyHostToDevice);
if (err != cudaSuccess){fprintf(stderr, "Failed to copy vector A from host to device (error code %s)!\n", cudaGetErrorString(err));exit(EXIT_FAILURE);}


int numThreads = 256;
int numBlocks = count/numThreads + 1;
AddInts<<<numBlocks,numThreads>>>(d_A,d_B); err = cudaGetLastError();

err = cudaMemcpy(A, d_A, count*sizeof(int), cudaMemcpyDeviceToHost);
if (err != cudaSuccess){fprintf(stderr, "Failed to copy vector C from device to host (error code %s)!\n", cudaGetErrorString(err));exit(EXIT_FAILURE);}

err = cudaFree(d_A);
if (err != cudaSuccess){fprintf(stderr, "Failed to free device vector A (error code %s)!\n", cudaGetErrorString(err));exit(EXIT_FAILURE);}
err = cudaFree(d_B);
if (err != cudaSuccess){fprintf(stderr, "Failed to free device vector A (error code %s)!\n", cudaGetErrorString(err));exit(EXIT_FAILURE);}

printf("\nPrimi cinque valori di A = ");
for(i=0;i<4;i++){printf("%d ", A[i]);}

printf("\n");
return 0;}

这是 kernel.cu 文件:

// kernel.cu
#include "func.h"
#include "kernel.h"

__global__ void AddInts(int *a, int *b){
int ID = get_global_index();
*(a+ID) += *(b+ID);

}

这里是func.cu

// func.cu
#include "func.h"
__device__ int get_global_index(){
return (blockIdx.x * blockDim.x) + threadIdx.x;
}

这是kernel.h

// kernel.h
__global__ void AddInts(int *a, int *b);

这是 func.h

// func.h
__device__ int get_global_index();

我 100% 确定 main.cu 脚本是正确的;我还知道我可以直接在主脚本中添加内核,但这不是我测试的目的;我也知道我可以去掉 __device__ 函数并将其直接放在 __global__ 内,但这也不是我的意图。

现在问题是:我写了一个非常简单的 makefile,应该能够编译程序,但不知何故它不起作用;这是生成文件:

# Location of the CUDA Toolkit
CUDA_PATH ?= /usr/local/cuda-6.5

OSUPPER = $(shell uname -s 2>/dev/null | tr "[:lower:]" "[:upper:]")
OSLOWER = $(shell uname -s 2>/dev/null | tr "[:upper:]" "[:lower:]")

OS_SIZE = $(shell uname -m | sed -e "s/x86_64/64/" -e "s/armv7l/32/" -e "s/aarch64/64/")
OS_ARCH = $(shell uname -m)
ARCH_FLAGS =

DARWIN = $(strip $(findstring DARWIN, $(OSUPPER)))
ifneq ($(DARWIN),)
XCODE_GE_5 = $(shell expr `xcodebuild -version | grep -i xcode | awk '{print $$2}' | cut -d'.' -f1` \>= 5)
endif

# Take command line flags that override any of these settings
ifeq ($(x86_64),1)
OS_SIZE = 64
OS_ARCH = x86_64
endif
ifeq ($(ARMv7),1)
OS_SIZE = 32
OS_ARCH = armv7l
ARCH_FLAGS = -target-cpu-arch ARM
endif
ifeq ($(aarch64),1)
OS_SIZE = 64
OS_ARCH = aarch64
ARCH_FLAGS = -target-cpu-arch ARM
endif

# Common binaries
ifneq ($(DARWIN),)
ifeq ($(XCODE_GE_5),1)
GCC ?= clang
else
GCC ?= g++
endif
else
ifeq ($(ARMv7),1)
GCC ?= arm-linux-gnueabihf-g++
else
GCC ?= g++
endif
endif
NVCC := $(CUDA_PATH)/bin/nvcc -ccbin $(GCC)

# internal flags
NVCCFLAGS := -m${OS_SIZE} ${ARCH_FLAGS}
CCFLAGS :=
LDFLAGS :=

# Extra user flags
EXTRA_NVCCFLAGS ?=
EXTRA_LDFLAGS ?=
EXTRA_CCFLAGS ?=

# OS-specific build flags
ifneq ($(DARWIN),)
LDFLAGS += -rpath $(CUDA_PATH)/lib
CCFLAGS += -arch $(OS_ARCH)
else
ifeq ($(OS_ARCH),armv7l)
ifeq ($(abi),androideabi)
NVCCFLAGS += -target-os-variant Android
else
ifeq ($(abi),gnueabi)
CCFLAGS += -mfloat-abi=softfp
else
# default to gnueabihf
override abi := gnueabihf
LDFLAGS += --dynamic-linker=/lib/ld-linux-armhf.so.3
CCFLAGS += -mfloat-abi=hard
endif
endif
endif
endif

ifeq ($(ARMv7),1)
ifneq ($(TARGET_FS),)
GCCVERSIONLTEQ46 := $(shell expr `$(GCC) -dumpversion` \<= 4.6)
ifeq ($(GCCVERSIONLTEQ46),1)
CCFLAGS += --sysroot=$(TARGET_FS)
endif
LDFLAGS += --sysroot=$(TARGET_FS)
LDFLAGS += -rpath-link=$(TARGET_FS)/lib
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib/arm-linux-$(abi)
endif
endif

# Debug build flags
ifeq ($(dbg),1)
NVCCFLAGS += -g -G
TARGET := debug
else
TARGET := release
endif

ALL_CCFLAGS :=
ALL_CCFLAGS += $(NVCCFLAGS)
ALL_CCFLAGS += $(EXTRA_NVCCFLAGS)
ALL_CCFLAGS += $(addprefix -Xcompiler ,$(CCFLAGS))
ALL_CCFLAGS += $(addprefix -Xcompiler ,$(EXTRA_CCFLAGS))

ALL_LDFLAGS :=
ALL_LDFLAGS += $(ALL_CCFLAGS)
ALL_LDFLAGS += $(addprefix -Xlinker ,$(LDFLAGS))
ALL_LDFLAGS += $(addprefix -Xlinker ,$(EXTRA_LDFLAGS))

# Common includes and paths for CUDA
INCLUDES := -I common/inc
LIBRARIES :=

################################################################################

SAMPLE_ENABLED := 1

# Gencode arguments
ifeq ($(OS_ARCH),armv7l)
SMS ?= 20 30 32 35 37 50
else
SMS ?= 11 20 30 35 37 50
endif

ifeq ($(SMS),)
$(info >>> WARNING - no SM architectures have been specified - waiving sample <<<)
SAMPLE_ENABLED := 0
endif

ifeq ($(GENCODE_FLAGS),)
# Generate SASS code for each SM architecture listed in $(SMS)
$(foreach sm,$(SMS),$(eval GENCODE_FLAGS += -gencode arch=compute_$(sm),code=sm_$(sm)))

# Generate PTX code from the highest SM architecture in $(SMS) to guarantee forward-compatibility
HIGHEST_SM := $(lastword $(sort $(SMS)))
ifneq ($(HIGHEST_SM),)
GENCODE_FLAGS += -gencode arch=compute_$(HIGHEST_SM),code=compute_$(HIGHEST_SM)
endif
endif

LIBRARIES += -lcufft

ifeq ($(SAMPLE_ENABLED),0)
EXEC ?= @echo "[@]"
endif

################################################################################

OBJS = main.o kernel.o func.o
CFLAGS = -rdc=true

# Target rules
all: build

build: eseguibile

check.deps:
ifeq ($(SAMPLE_ENABLED),0)
@echo "Sample will be waived due to the above missing dependencies"
else
@echo "Sample is ready - all dependencies have been met"
endif

main.o:main.cu
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<

kernel.o:kernel.cu kernel.h
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<

func.o:func.cu func.h
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<

eseguibile: $(OBJS)
$(EXEC) $(NVCC) $(ALL_LDFLAGS) $(GENCODE_FLAGS) -o $@ $+ $(LIBRARIES)
$(EXEC) mkdir -p ../../bin/$(OS_ARCH)/$(OSLOWER)/$(TARGET)$(if $(abi),/$(abi))
$(EXEC) cp $@ ../../bin/$(OS_ARCH)/$(OSLOWER)/$(TARGET)$(if $(abi),/$(abi))

run: build
$(EXEC) ./eseguibile

clean:
rm -f eseguibile $(OBJS)
rm -rf ../../bin/$(OS_ARCH)/$(OSLOWER)/$(TARGET)$(if $(abi),/$(abi))/eseguibile

clobber: clean

其中common/inc文件夹是包含Nvidia提供的使Cuda正确执行所必需的头文件的文件夹;对于与选项卡相关的内容,它们在我的原始文件中是 100% 正确的,但我只是无法在 stackoverflo 中复制它们;我得到的错误是这样的:

./kernel.cu(6): Error: External calls are not supported (found non-inlined call to _Z16get_global_indexv)
make: *** [kernel.o] Error 2

makefile基于Nvidia在示例中提供的makefile;我真的不知道错误可能出在哪里;这只是 makefile 还是我不应该像我刚才那样嵌套函数?

最佳答案

这里的情况需要可重定位设备代码链接(又名 separate compilation/linking ),但您的 Makefile 没有为此正确设置。

有许多情况可能需要单独编译和链接。您的项目中存在的一个示例是,一个模块中的设备代码调用另一模块中的 __device__ 函数。在本例中,kernel.cu 中的 AddInts 内核正在调用 func.cu 中定义的 get_global_index __device__ 函数。这将需要单独编译和链接设备代码。

在这种情况下,解决方案相当简单。我们只需将相应的 -c 编译选项更改为 -dc,无论它在 Makefile 中的何处使用。这 3 行必须更改:

main.o:main.cu 
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -dc $<

kernel.o:kernel.cu kernel.h
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -dc $<

func.o:func.cu func.h
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -dc $<

^
|
make changes here

此外,您将需要更改您选择的架构以定位以下内容:

SMS ?= 11 20 30 35 37 50

对此:

SMS ?= 20 30 35 37 50

as sm_11 不是单独编译和链接的有效架构。 (如果您必须在 cc2.0 之前的设备上运行此代码,那么您将必须重组您的代码以将所有设备功能包含在同一文件中;您在问题中明确表示您不想这样做。)

请注意,这不是修改 Makefile 的唯一方法。你有这样的定义:

CFLAGS = -rdc=true

但你并没有在任何地方使用它。我们可以将 $(CFLAGS) 添加到这 3 行中的每一行,而不是将上述从 -c 更改为 -dc 。生成的语法是等效的。 (即-dc相当于-rdc=true -c)

一个不相关的评论是您发布的代码不依赖于 cufft 库。因此你可以更改这一行:

LIBRARIES += -lcufft

对此:

LIBRARIES +=

在你的Makefile中。但是,根据您在此处所描述的内容,构建正确的代码不需要进行此更改。如果您的项目最终将使用 cufft 库,那么您可能应该按原样保留此行。

关于c - 无法为 CUDA C 程序创建工作 Makefile,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/27454960/

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