Reputation: 15020
I have the following code which causes an error in the context of a larger codebase:
struct Quadruple
{
double _sum;
double _corr;
// Fast multiply by -1, 0 or +1 (doesn't need extended precision operations).
__device__ inline Quadruple& MulSign(const int8_t sign);
};
// ...
__device__ inline Quadruple& Quadruple::MulSign(const int8_t sign)
{
__assume(-1 <= sign && sign <= 1); // enable more optimization premises
_sum *= sign;
_corr *= sign;
return *this;
}
// ...
int8_t y = /* ... read from memory ... */;
Quadruple a = /* ... computed here ... */;
Quadruple b = Quadruple(a).MulSign(y);
When compiling the code with CUDA 8RC + MSVC++2013 I get the following error:
1> Compiling CUDA source file Example.gpu.cu...
1>
1> D:\ExDir>"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin\nvcc.exe" -gencode=arch=compute_20,code=\"sm_21,compute_20\" --use-local-env --cl-version 2013 -ccbin "C:\Program Files (x86)\Microsoft Visual Studio 12.0\VC\bin\x86_amd64" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -D_DENSE_REP -DWIN32 -DWIN64 -DNDEBUG -D_CONSOLE -D_MBCS -Xcompiler "/EHsc /W4 /nologo /Ox /Zi /MD " -o x64\Release\Example.gpu.cu.obj "D:\ExDir\Example.gpu.cu"
1>ptxas C : /Users/ExUser/AppData/Local/Temp/tmpxft_00002ffc_00000000-4_CuSvm.gpu.ptx, line 2513; error : Call has wrong number of parameters
1> ptxas fatal : Ptx assembly aborted due to errors
1> Example.gpu.cu
1>C:\Program Files (x86)\MSBuild\Microsoft.Cpp\v4.0\V120\BuildCustomizations\CUDA 8.0.targets(599,9): error MSB3721: The command ""C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin\nvcc.exe" -gencode=arch=compute_20,code=\"sm_21,compute_20\" --use-local-env --cl-version 2013 -ccbin "C:\Program Files (x86)\Microsoft Visual Studio 12.0\VC\bin\x86_amd64" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -D_DENSE_REP -DWIN32 -DWIN64 -DNDEBUG -D_CONSOLE -D_MBCS -Xcompiler "/EHsc /W4 /nologo /Ox /Zi /MD " -o x64\Release\Example.gpu.cu.obj "D:\ExDir\Example.gpu.cu"" exited with code 255.
After commenting out __assume(-1 <= sign && sign <= 1);
, the code compiles ok.
Is it a bug in NVCC, or is MSVC++'s __assume
just not supported by NVCC, or am I doing something wrong? Is there a workaround (keeping __assume
or an equivalent, of course)?
Upvotes: 2
Views: 189
Reputation: 76537
Since CUDA 11.2 nvcc now has the __builtin_assume()
intrinsic if gcc or clang is the host compiler. If the host compiler is cl.exe (aka MSVC), then -- additionally -- __assume
can be used.
It will always work in __device__
code.
However when the __host__
compiler is gcc (i.e.: not MSVC and not clang) you cannot use __assume
in host code, because gcc does not support it.
You can define it as follows as a workaround, see: https://gcc.gnu.org/onlinedocs/gcc/Statement-Attributes.html#index-assume-statement-attribute
#ifndef __assume
#ifdef __GNUC__
#define __assume(cond) do { \
__attribute__((assume(cond))); \
} while (0)
#endif
#ifdef __CUDA_ARCH__
#define __assume(cond) do { __builtin_assume(cond); } while (0)
#endif
#endif
For very old versions of gcc I guess you can substitute the __attribute__
with if (!(cond)) __builtin_unreachable();
, but it seems silly to pair a new version of nvcc with an old gcc.
Note that all of MSVC, clang, gcc, and nvcc (11.2+) do support __builtin_assume_aligned
.
Starting from nvcc 11.3 __builtin_unreachable
is also supported.
Upvotes: 1