I have a templated static CUDA library which I want to include into a common c++ project. When I include the headers of the library the compiler crashes and says It cannot resolve the CUDA-specific symbols. Of course the g++ compiler cannot interpret these symbols. I know the problem, but I do not know how to fix this problem using the nsight IDE.
I'm using nsight for both, the cuda/nvcc library and the c++/g++ project.
Console output:
make all
Building file: ../src/MedPrak.cpp
Invoking: GCC C++ Compiler
g++ -I/home/voodoocode/Praktikum/MedPrak/PrivateRepo/MedPrakCuda/src -O0 -g3 -Wall -c -fmessage-length=0 -MMD -MP -MF"src/MedPrak.d" -MT"src/MedPrak.d" -o "src/MedPrak.o" "../src/MedPrak.cpp"
In file included from ../src/cudaWrapper.cu:8:0,
from ../src/MedPrak.cpp:3:
/home/voodoocode/Praktikum/MedPrak/PrivateRepo/MedPrakCuda/src/kernel.h:15:23: error: ‘__global__’ does not name a type
template <typename T> __global__ void squareVector(T *input, T *output, int size) {
Edit: Forgot to mention that I have a cuda project with the same files as in the library. The cuda project compiles fine and runs properly, so I think there is not a huge error within my code.
Edit2: To avoid the "template library" idea. I have a wrapper around the actual template classes. So there is no "empty" library.
Here's a set of instructions that should help:
A. Create library project:
test8lib.h:
#ifndef TEST8LIB_H_
#define TEST8LIB_H_
void calc_square_vec_float(float *in_data, float *out_data, int size);
#endif /* TEST8LIB_H_ */
test8.cuh:
#ifndef TEST8_CUH_
#define TEST8_CUH_
template <typename T> __global__ void squareVector(T *input, T *output, int size) {
int idx = threadIdx.x+blockDim.x*blockIdx.x;
if (idx < size) output[idx]=input[idx]*input[idx];
}
#endif /* TEST8_CUH_ */
test8.cu:
#include "test8lib.h"
#include "test8.cuh"
#define nTPB 256
void calc_square_vec_float(float *in_data, float *out_data, int size){
float *d_in_data, *d_out_data;
cudaMalloc(&d_in_data, size*sizeof(float));
cudaMalloc(&d_out_data, size*sizeof(float));
cudaMemcpy(d_in_data, in_data, size*sizeof(float),cudaMemcpyHostToDevice);
squareVector<<<(size+nTPB-1)/nTPB, nTPB>>>(d_in_data, d_out_data, size);
cudaMemcpy(out_data, d_out_data, size*sizeof(float),cudaMemcpyDeviceToHost);
}
B. Create main project:
/path/to/cuda-workspace/test8/Debug
) /usr/local/cuda/lib64
) test9.cpp:
#include <stdio.h>
#include <stdlib.h>
#include "test8lib.h"
#define DSIZE 4
#define TEST_VAL 2.0f
int main(){
float *in, *out;
in = (float *)malloc(DSIZE*sizeof(float));
out = (float *)malloc(DSIZE*sizeof(float));
for (int i=0; i<DSIZE; i++){
in[i] = TEST_VAL;
out[i] = 0.0f;
}
calc_square_vec_float(in, out, DSIZE);
for (int i=0; i<DSIZE; i++)
if (out[i] != (float)(TEST_VAL*TEST_VAL)){
printf("mismatch at %d, was: %f, should be: %f\n", i, out[i], (float)(TEST_VAL*TEST_VAL));
return 1;
}
printf("Success!\n");
return 0;
}
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