CUDA syntax error '<'

cuda error expected an expression
error c2059: syntax error
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cuda kernel

in my file (cu file item type is CUDA C/C++)

__global__ void foo()

void CudaMain()


and in my test.cpp file

#include ""

int main()

return 0;


and compilator send me error "error c2059 syntax error ' <' " in file

Inclusion of CUDA source files in a C++ file doesn't work because this simply makes the CUDA source part of the C++ program code and regular C++ compilers do not understand CUDA syntax extensions. If you still want to keep your CUDA code separate from the non-CUDA C++ code, then you might want to look into separate compilation. CUDA source code can be compiled to regular object files, that can then be linked with other object files to produce an executable.

Modify the C++ code to read:

extern void CudaMain(void);

int main()
    return 0;

Compile the CUDA file with nvcc, the C++ code with your C++ compiler and then link the resulting object files with nvcc (you may also need to specify the standard C++ library in the link command):

$ nvcc -c -o test_cuda.o
$ g++ -c -o test_cpp.o test.cpp
$ nvcc -o test.exe test_cuda.o test_cpp.o -lstdc++

Edit: your question is about VS2010. May be you have to create custom build steps there.

C2059: syntax error : '<', I am trying to implement a very simple kernel, but being stuck because of this error. Using simple C and CUDA code in Visual Studio 2015 version using CUDA � in my file (cu file item type is CUDA C/C++) __global__ void foo() { } void CudaMain() { foo<<<1,1>>>(); } and in my test.cpp file #include "" int

I know this is an old question but I was searching around and it jogged my memory for a solution that hasn't been mentioned.

The nvcc help offers:

--x {c|c++|cu}                             (-x)
        Explicitly specify the language for the input files, rather than letting
        the compiler choose a default based on the file name suffix.
        Allowed values for this option:  'c','c++','cu'.

So although it's a bit of a blunt tool, you can do:

nvcc my_source.cpp -x cu ...

and it'll compile the .cpp as if it was named .cu (ie as CUDA).

Compile error under visual c++ 2017 and CUDA 10.1 � Issue #1149 , fmt header using nvcc CUDA compiler with msvc 2017 triggers the following compiling errors: \fmt\core.h(662): error C2059: syntax error: '' . Dismiss Join GitHub today. GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together.

Based on the thread here:

Your test file extension should be .cu as well, but if you're using MSCV rename does not enough you should create a new CUDA C/C++ source module in your VS project.

Also you should put spaces between the <> operators like.

foo< < <1,1> > >();

Because C++ cannot parse the <<<>>>.

[PDF] Starting with CUDA, 1>Error: The result "" of evaluating the value "$(CudaBuildTasksPath)" of the. " AssemblyFile" handle special CUDA C syntax and global defines. error C2065: � The front end of the compiler processes CUDA source files according to C++ syntax rules. Full C++ is supported for the host code. However, only a subset of C++ is fully supported for the device code as described in C++ Language Support.

CUDA syntax error '<' - c++ - android, and in my test.cpp file #include "" int main() { CudaMain(); return 0; } and compilator send me error "error c2059 syntax error ' <' " in file� To correct this error, use the template keyword on the dependent type's name, as shown here: template <typename T> struct Allocator { template <typename U> struct Rebind { typedef Allocator<U> Other; }; }; template <typename X, typename AY> struct Container { typedef typename AY::template Rebind<X>::Other AX; // correct };

CUDA syntax error - Part 1 (2018), if cuda: a = to_gpu(a, async=True). SyntaxError: invalid syntax. Not sure what's wrong… I tried doing a clean pull of all the files from Git… and it� CUDA-MEMCHECK is a suite of run time tools capable of precisely detecting out of bounds and misaligned memory access errors, checking device allocation leaks, reporting hardware errors and identifying shared memory data access hazards.

CUDA reference, CUDA syntax. Source code is in .cu files, which contain mixture of host (CPU) and device (GPU) code. Declaring functions� Tags: accelerated computing, CUDA, CUDA C/C++, Memory, Shared Memory In the previous post , I looked at how global memory accesses by a group of threads can be coalesced into a single transaction, and how alignment and stride affect coalescing for various generations of CUDA hardware.

  • I think it's being parsed as operator << followed by <, try adding spaces like so: foo< < < 1,1 > > >
  • I have no clue how does CUDA work, but in this case, you're trying to compile (#include does, actually, insert the text from the .cu file in the .cpp) the '' file with c++ compiler, which, apparently, cannot bear the <<<
  • You should name your main test file (or something) and compile it with nvcc.
  • I try foo< < < 1,1 > > > but not working
  • Have you followed all the steps in the getting started guide for windows? You are including a .cu file into a .cpp file, but the ms vc build rules are compiling the .cpp file with cpp build rules, not .cu build rules. So it's tripping over the device code in a .cpp file. Rename your test.cpp to so that the device build (.cu) rules are used.
  • This would be applicable to the situation where c and c++ are being linked together. In this case, he is including the .cu file into the .cpp file, not linking them together. There are no extern function calls in this scenario.
  • Need I to copy cuda *.rules files into vs directory?
  • The cuda rules should already be set up properly if you followed the getting started instructions and installed cuda after installing ms vs.
  • Can somebody give me a simple runtime api kernel launching sample (+project file) .. please.
  • See my comment above on your question. Rename all your .cpp files to .cu