[cfe-dev] Parsing CUDA file to AST
jotas
julian.maciejewski at gmail.com
Wed Mar 5 13:40:29 PST 2014
Actually I have same problem as this guy:
http://lists.cs.uiuc.edu/pipermail/cfe-dev/2011-June/015596.html
I set search patches and now my program sees __global__ etc. but not
blockDim.x or threadIdx.x.
I set flag -D__CUDACC__ in makefile but it doesnt work. setting:
TheCompInst.getPreprocessorOpts().addMacroDef("__CUDACC__"); gives even
more errors like:
/usr/local/cuda-5.5/include/cuda_runtime_api.h:1029:17: warning: unknown
attribute 'cudart_builtin' ignored
extern __host__ __cudart_builtin__ cudaError_t CUDARTAPI
cudaGetLastError(void);
^
/usr/local/cuda-5.5/include/host_defines.h:199:22: note: expanded from
macro '__cudart_builtin__'
__location__(cudart_builtin)
^
/usr/local/cuda-5.5/include/host_defines.h:83:22: note: expanded from macro
'__location__'
__annotate__(a)
2014-03-05 22:26 GMT+01:00 Eli Bendersky-2 [via Clang Developers] <
ml-node+s42468n4038299h32 at n3.nabble.com>:
>
>
>
> On Wed, Mar 5, 2014 at 4:12 AM, jotas <[hidden email]<http://user/SendEmail.jtp?type=node&node=4038299&i=0>
> > wrote:
>
>> Hi,
>> I ma building rewriter based on clang (based on some tutorial available on
>> the internet).
>> I am loading CUDA file and trying to traverse AST. I got a problem. It
>> doesn't recognize CUDA directives like __global__ etc.
>> I set:
>> TheCompInst.getLangOpts().CUDA = 1;
>> and source search patch to:
>> /usr/include/linux
>>
>> Sould I do someting more?
>>
>> I get an error:
>>
>> :~/Documents/rewriter$ ./rewritersample bigfunc2.c
>> bigfunc2.c:17:1: error: unknown type name '__global__'
>> __global__ void foo22(int *a, int *b, int *c) {
>> ^
>> bigfunc2.c:17:12: error: expected identifier or '('
>> __global__ void foo22(int *a, int *b, int *c) {
>> ^
>> #include <cuda.h>
>>
>> #define N_WAVE 1024
>> #define LOG2_N_WAVE 10
>>
>
> These are usually defined as preprocessor macros in the CUDA headers,
> something like:
>
> #define __device__ __attribute__((device))
>
> You can take a peek at the public CUDA headers for more information.
>
> Eli
>
>
>
>
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