PyCUDA February 2012

pycuda@tiker.net

23 participants
36 discussions

Re: [PyCUDA] curandom, access to generator

by Andreas Kloeckner

On Sat, 28 Jan 2012 18:21:29 -0500, Thomas Wiecki <Thomas_Wiecki(a)brown.edu> wrote: > I am currently revisiting this but having some problems with the > random number generator. > > generator.generators_per_block is 512 on my card, so I initialize 512 > generators, but I see that some of them don't produce random numbers > when sampling from them. I notice that in some subtle ways (mainly > that the distribution is not correct or all numbers are the same) if I > sample from more than 300-350 generators (always the last ones are > affected), but it's fine when using e.g. 128. So it seems I can only > use a smaller number of generators than what the card says I should be > able to use. > > Any idea on why that might be or how to investigate this further? Mysterious. What generator is this using? XORWOW? Tomasz, any ideas? Andreas

8 years, 1 month

Ubuntu 10.4 installation problem

by Kaczmarski Krzysztof

Hi All, I am fighting several days now with pycuda installation. I program in CUDA for several years, now I want to give pycuda a try. I did everything according to the instructions, however the 'make step' keeps complaining about CUDA_ROOT and nvcc... kk@oktan:/usr/lib/python2.6/pycuda$ sudo -E echo $CUDA_ROOT /usr/local/cuda kk@oktan:/usr/lib/python2.6/pycuda$ sudo -E echo $PATH /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/cuda/bin kk@oktan:/usr/lib/python2.6/pycuda$ nvcc nvcc fatal : No input files specified; use option --help for more information kk@oktan:/usr/lib/python2.6/pycuda$ sudo -E make -j 4 ctags -R src || true /usr/bin/python setup.py build *** CUDA_ROOT not set, and nvcc not in path. Giving up. Traceback (most recent call last): File "setup.py", line 232, in <module> main() File "setup.py", line 77, in main conf = get_config(get_config_schema()) File "setup.py", line 29, in get_config_schema sys.exit(1) NameError: global name 'sys' is not defined make: *** [all] Error 1 I googled but found no solution for this. Thanks for any advices... yes I am a python newbie (but I program in it a bit). Cheers, KK

8 years, 3 months

Re: [PyCUDA] [Robert Kern] Re: [Numpy-discussion] dtype comparison, hash

by Andreas Kloeckner

Great, thanks! Andreas On Tue, 17 Jan 2012 08:07:19 +0100, Thomas Wiecki <Thomas_Wiecki(a)brown.edu> wrote: > Not following that list, but I hope it got resolved. > > This works fine now for me. Danke! > > Thomas > > On Tue, Jan 17, 2012 at 2:31 AM, Andreas Kloeckner > <lists(a)informa.tiker.net> wrote: > > On Sat, 14 Jan 2012 12:45:12 +0100, Thomas Wiecki <Thomas_Wiecki(a)brown.edu> wrote: > >> On Fri, Jan 13, 2012 at 10:13 PM, Andreas Kloeckner > >> <lists(a)informa.tiker.net> wrote: > >> > You mean uintp (not uintp32), right? I've made that fix in compyte. Can > >> > you please verify? (requires a submodule update, fixed in both PyOpenCL > >> > and PyCUDA) > >> > >> Yes, that's a typo. > >> > >> > I was a bit unsure what C type to map this to, but decided in favor of > >> > uintptr_t, even though that requires the user to have stdint.h included, > >> > which none of the other types do. Hope that's ok, but I am open to > >> > suggestions. > >> > >> The current fix doesn't work for me: > >> CompileError: nvcc compilation of /tmp/tmp2ru5rp/kernel.cu failed > >> [command: nvcc --cubin -arch sm_11 > >> -I/usr/local/lib/python2.7/dist-packages/pycuda-2011.2.2-py2.7-linux-i686.egg/pycuda/../include/pycuda > >> kernel.cu] > >> [stderr: > >> kernel.cu(7): error: identifier "uintptr_t" is undefined > > > > Can you try again now? Sorry for the wait. If you follow the PyOpenCL > > list, you'll know what held me up. :( > > > > Andreas >

8 years, 4 months

Installation problem(Win64bit+vs2008+pycuda2011.2.2+boost1.38)

by CiCi

Hi, Have someone met this error when building pycuda? the following is the error description: *thread.obj : error LNK2019: unresolved external symbol "void __cdecl pycudaboost::tss_cl eanup_implemented(void)" (?tss_cleanup_implemented@pycudaboost@@YAXXZ)" referenced in function "void __cdecl pycudaboost::`anonymous namespace'::create_current_thread_tls _key(void)" (?create_current_thread_tls_key@?A0x33f885c9@pycudaboost@@YAXXZ) * Waiting for help on line... Thanks. CiCi ----- a chinese student -- View this message in context: http://pycuda.2962900.n2.nabble.com/Installation-problem-Win64bit-vs2008-py… Sent from the PyCuda mailing list archive at Nabble.com.

8 years, 4 months

Re: [PyCUDA] gpuarray + OpenGL VBO

by Mark Wiebe

Further to this, it appears that the context lifetime management doesn't properly tie the creation of a CUDA device context to its deletion. I'm thinking of a scenario where a user can create multiple windows with OpenGL viewports in them, each with its own OpenGL context and corresponding CUDA context. Since PyCUDA is using a global stack to maintain these contexts, creating windows and destroying them in arbitrary order will probably do something funky. -Mark On Wed, Feb 29, 2012 at 11:28 AM, Mark Wiebe <mwwiebe(a)gmail.com> wrote: > I'd like to create a VBO using OpenGL, then manipulate it in PyCUDA as a > gpuarray. Is this possible? I looked a bit into how I would set the > deallocation policy, which needs to use OpenGL calls to free the VBO, but > gpuarray seems to hardcode CUDA. I would expect it to work like the NumPy > ndarray.base object, which owns the memory used by the ndarray. Is this > possible? > > Thanks, > Mark >

8 years, 4 months

gpuarray + OpenGL VBO

by Mark Wiebe

I'd like to create a VBO using OpenGL, then manipulate it in PyCUDA as a gpuarray. Is this possible? I looked a bit into how I would set the deallocation policy, which needs to use OpenGL calls to free the VBO, but gpuarray seems to hardcode CUDA. I would expect it to work like the NumPy ndarray.base object, which owns the memory used by the ndarray. Is this possible? Thanks, Mark

8 years, 4 months

pycuda Installation problem on windows 32bit with VS2008

by CiCi

Hi, I am a chinese student, doing some GPU computing research. Recently, I want to change the Pycuda version from 0.94.2 to 2011.2.2, but meet some problems. My old environment is windows32bit+Python2.6+VS2009+Pycuda-0.94.2, I followed the instruction on the wiki page:http://wiki.tiker.net/PyCuda/Installation/Windows, and it can work. But when I do the same things to version 2011.2.2, It can't work! I apologize for such long error that I pasted all from the MINGW. I get the following errors when I input "python setup.py build" : * running build running build_py creating build creating build\lib.win32-2.6 creating build\lib.win32-2.6\pycuda copying pycuda\autoinit.py -> build\lib.win32-2.6\pycuda copying pycuda\characterize.py -> build\lib.win32-2.6\pycuda copying pycuda\compiler.py -> build\lib.win32-2.6\pycuda copying pycuda\cumath.py -> build\lib.win32-2.6\pycuda copying pycuda\curandom.py -> build\lib.win32-2.6\pycuda copying pycuda\debug.py -> build\lib.win32-2.6\pycuda copying pycuda\driver.py -> build\lib.win32-2.6\pycuda copying pycuda\elementwise.py -> build\lib.win32-2.6\pycuda copying pycuda\gpuarray.py -> build\lib.win32-2.6\pycuda copying pycuda\reduction.py -> build\lib.win32-2.6\pycuda copying pycuda\scan.py -> build\lib.win32-2.6\pycuda copying pycuda\tools.py -> build\lib.win32-2.6\pycuda copying pycuda\_cluda.py -> build\lib.win32-2.6\pycuda copying pycuda\_mymako.py -> build\lib.win32-2.6\pycuda copying pycuda\__init__.py -> build\lib.win32-2.6\pycuda creating build\lib.win32-2.6\pycuda\gl copying pycuda\gl\autoinit.py -> build\lib.win32-2.6\pycuda\gl copying pycuda\gl\__init__.py -> build\lib.win32-2.6\pycuda\gl creating build\lib.win32-2.6\pycuda\sparse copying pycuda\sparse\cg.py -> build\lib.win32-2.6\pycuda\sparse copying pycuda\sparse\coordinate.py -> build\lib.win32-2.6\pycuda\sparse copying pycuda\sparse\inner.py -> build\lib.win32-2.6\pycuda\sparse copying pycuda\sparse\operator.py -> build\lib.win32-2.6\pycuda\sparse copying pycuda\sparse\packeted.py -> build\lib.win32-2.6\pycuda\sparse copying pycuda\sparse\pkt_build.py -> build\lib.win32-2.6\pycuda\sparse copying pycuda\sparse\__init__.py -> build\lib.win32-2.6\pycuda\sparse creating build\lib.win32-2.6\pycuda\compyte copying pycuda\compyte\array.py -> build\lib.win32-2.6\pycuda\compyte copying pycuda\compyte\dtypes.py -> build\lib.win32-2.6\pycuda\compyte copying pycuda\compyte\scan.py -> build\lib.win32-2.6\pycuda\compyte copying pycuda\compyte\__init__.py -> build\lib.win32-2.6\pycuda\compyte running build_ext building '_driver' extension creating build\temp.win32-2.6 creating build\temp.win32-2.6\Release creating build\temp.win32-2.6\Release\src creating build\temp.win32-2.6\Release\src\cpp creating build\temp.win32-2.6\Release\src\wrapper creating build\temp.win32-2.6\Release\bpl-subset creating build\temp.win32-2.6\Release\bpl-subset\bpl_subset creating build\temp.win32-2.6\Release\bpl-subset\bpl_subset\libs creating build\temp.win32-2.6\Release\bpl-subset\bpl_subset\libs\python creating build\temp.win32-2.6\Release\bpl-subset\bpl_subset\libs\python\src creating build\temp.win32-2.6\Release\bpl-subset\bpl_subset\libs\python\src\conv erter creating build\temp.win32-2.6\Release\bpl-subset\bpl_subset\libs\python\src\obje ct creating build\temp.win32-2.6\Release\bpl-subset\bpl_subset\libs\thread creating build\temp.win32-2.6\Release\bpl-subset\bpl_subset\libs\thread\src creating build\temp.win32-2.6\Release\bpl-subset\bpl_subset\libs\thread\src\pthr ead creating build\temp.win32-2.6\Release\bpl-subset\bpl_subset\libs\thread\src\win3 2 creating build\temp.win32-2.6\Release\bpl-subset\bpl_subset\libs\smart_ptr creating build\temp.win32-2.6\Release\bpl-subset\bpl_subset\libs\smart_ptr\src c:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe /c /nologo /Ox /MD /W 3 /GS- /DNDEBUG -DPYGPU_PACKAGE=pycuda -DHAVE_CURAND=1 -DBOOST_PYTHON_SOURCE=1 - DPYGPU_PYCUDA=1 -DBOOST_MULTI_INDEX_DISABLE_SERIALIZATION=1 -Dboost=pycudaboost -Isrc/cpp -Ibpl-subset/bpl_subset "-Ic:\Program Files\NVIDIA GPU Computing Toolk it\CUDA\v4.0\include" -Ic:\Python26\lib\site-packages\numpy\core\include -Ic:\Py thon26\include -Ic:\Python26\PC /Tpsrc/cpp/cuda.cpp /Fobuild\temp.win32-2.6\Rele ase\src/cpp/cuda.obj /EHsc cuda.cpp c:\users\administrator\pycuda\src\cpp\cuda.hpp(1773) : warning C4146: 一元负运算符应用于无符号类型，结果仍为无符号类型 c:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe /c /nologo /Ox /MD /W 3 /GS- /DNDEBUG -DPYGPU_PACKAGE=pycuda -DHAVE_CURAND=1 -DBOOST_PYTHON_SOURCE=1 - DPYGPU_PYCUDA=1 -DBOOST_MULTI_INDEX_DISABLE_SERIALIZATION=1 -Dboost=pycudaboost -Isrc/cpp -Ibpl-subset/bpl_subset "-Ic:\Program Files\NVIDIA GPU Computing Toolk it\CUDA\v4.0\include" -Ic:\Python26\lib\site-packages\numpy\core\include -Ic:\Py thon26\include -Ic:\Python26\PC /Tpsrc/cpp/bitlog.cpp /Fobuild\temp.win32-2.6\Re lease\src/cpp/bitlog.obj /EHsc bitlog.cpp c:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe /c /nologo /Ox /MD /W 3 /GS- /DNDEBUG -DPYGPU_PACKAGE=pycuda -DHAVE_CURAND=1 -DBOOST_PYTHON_SOURCE=1 - DPYGPU_PYCUDA=1 -DBOOST_MULTI_INDEX_DISABLE_SERIALIZATION=1 -Dboost=pycudaboost -Isrc/cpp -Ibpl-subset/bpl_subset "-Ic:\Program Files\NVIDIA GPU Computing Toolk it\CUDA\v4.0\include" -Ic:\Python26\lib\site-packages\numpy\core\include -Ic:\Py thon26\include -Ic:\Python26\PC /Tpsrc/wrapper/wrap_cudadrv.cpp /Fobuild\temp.wi n32-2.6\Release\src/wrapper/wrap_cudadrv.obj /EHsc wrap_cudadrv.cpp src/cpp\cuda.hpp(1773) : warning C4146: 一元负运算符应用于无符号类型，结果仍为无符号类型 c:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe /c /nologo /Ox /MD /W 3 /GS- /DNDEBUG -DPYGPU_PACKAGE=pycuda -DHAVE_CURAND=1 -DBOOST_PYTHON_SOURCE=1 - DPYGPU_PYCUDA=1 -DBOOST_MULTI_INDEX_DISABLE_SERIALIZATION=1 -Dboost=pycudaboost -Isrc/cpp -Ibpl-subset/bpl_subset "-Ic:\Program Files\NVIDIA GPU Computing Toolk it\CUDA\v4.0\include" -Ic:\Python26\lib\site-packages\numpy\core\include -Ic:\Py thon26\include -Ic:\Python26\PC /Tpsrc/wrapper/mempool.cpp /Fobuild\temp.win32-2 .6\Release\src/wrapper/mempool.obj /EHsc mempool.cpp src/cpp\cuda.hpp(1773) : warning C4146: 一元负运算符应用于无符号类型，结果仍为无符号类型 bpl-subset/bpl_subset\boost/format/alt_sstream_impl.hpp : warning C4819: 该文件包含不能在当前代码页(936)中表示的字符。请将该文件保存为 Unicode 格式以防止数据丢失 c:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe /c /nologo /Ox /MD /W 3 /GS- /DNDEBUG -DPYGPU_PACKAGE=pycuda -DHAVE_CURAND=1 -DBOOST_PYTHON_SOURCE=1 - 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DPYGPU_PYCUDA=1 -DBOOST_MULTI_INDEX_DISABLE_SERIALIZATION=1 -Dboost=pycudaboost -Isrc/cpp -Ibpl-subset/bpl_subset "-Ic:\Program Files\NVIDIA GPU Computing Toolk it\CUDA\v4.0\include" -Ic:\Python26\lib\site-packages\numpy\core\include -Ic:\Py thon26\include -Ic:\Python26\PC /Tpbpl-subset/bpl_subset/libs\python\src\convert er\from_python.cpp /Fobuild\temp.win32-2.6\Release\bpl-subset/bpl_subset/libs\py thon\src\converter\from_python.obj /EHsc from_python.cpp c:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe /c /nologo /Ox /MD /W 3 /GS- /DNDEBUG -DPYGPU_PACKAGE=pycuda -DHAVE_CURAND=1 -DBOOST_PYTHON_SOURCE=1 - DPYGPU_PYCUDA=1 -DBOOST_MULTI_INDEX_DISABLE_SERIALIZATION=1 -Dboost=pycudaboost -Isrc/cpp -Ibpl-subset/bpl_subset "-Ic:\Program Files\NVIDIA GPU Computing Toolk it\CUDA\v4.0\include" -Ic:\Python26\lib\site-packages\numpy\core\include -Ic:\Py thon26\include -Ic:\Python26\PC /Tpbpl-subset/bpl_subset/libs\python\src\convert er\registry.cpp /Fobuild\temp.win32-2.6\Release\bpl-subset/bpl_subset/libs\pytho n\src\converter\registry.obj /EHsc registry.cpp c:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe /c /nologo /Ox /MD /W 3 /GS- /DNDEBUG -DPYGPU_PACKAGE=pycuda -DHAVE_CURAND=1 -DBOOST_PYTHON_SOURCE=1 - DPYGPU_PYCUDA=1 -DBOOST_MULTI_INDEX_DISABLE_SERIALIZATION=1 -Dboost=pycudaboost -Isrc/cpp -Ibpl-subset/bpl_subset "-Ic:\Program Files\NVIDIA GPU Computing Toolk it\CUDA\v4.0\include" -Ic:\Python26\lib\site-packages\numpy\core\include -Ic:\Py thon26\include -Ic:\Python26\PC /Tpbpl-subset/bpl_subset/libs\python\src\convert er\type_id.cpp /Fobuild\temp.win32-2.6\Release\bpl-subset/bpl_subset/libs\python \src\converter\type_id.obj /EHsc type_id.cpp c:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe /c /nologo /Ox /MD /W 3 /GS- /DNDEBUG -DPYGPU_PACKAGE=pycuda -DHAVE_CURAND=1 -DBOOST_PYTHON_SOURCE=1 - DPYGPU_PYCUDA=1 -DBOOST_MULTI_INDEX_DISABLE_SERIALIZATION=1 -Dboost=pycudaboost -Isrc/cpp -Ibpl-subset/bpl_subset "-Ic:\Program Files\NVIDIA GPU Computing Toolk it\CUDA\v4.0\include" -Ic:\Python26\lib\site-packages\numpy\core\include -Ic:\Py thon26\include -Ic:\Python26\PC /Tpbpl-subset/bpl_subset/libs\python\src\object\ class.cpp /Fobuild\temp.win32-2.6\Release\bpl-subset/bpl_subset/libs\python\src\ object\class.obj /EHsc class.cpp c:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe /c /nologo /Ox /MD /W 3 /GS- /DNDEBUG -DPYGPU_PACKAGE=pycuda -DHAVE_CURAND=1 -DBOOST_PYTHON_SOURCE=1 - DPYGPU_PYCUDA=1 -DBOOST_MULTI_INDEX_DISABLE_SERIALIZATION=1 -Dboost=pycudaboost -Isrc/cpp -Ibpl-subset/bpl_subset "-Ic:\Program Files\NVIDIA GPU Computing Toolk it\CUDA\v4.0\include" -Ic:\Python26\lib\site-packages\numpy\core\include -Ic:\Py thon26\include -Ic:\Python26\PC /Tpbpl-subset/bpl_subset/libs\python\src\object\ enum.cpp /Fobuild\temp.win32-2.6\Release\bpl-subset/bpl_subset/libs\python\src\o bject\enum.obj /EHsc enum.cpp c:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe /c /nologo /Ox /MD /W 3 /GS- /DNDEBUG -DPYGPU_PACKAGE=pycuda -DHAVE_CURAND=1 -DBOOST_PYTHON_SOURCE=1 - DPYGPU_PYCUDA=1 -DBOOST_MULTI_INDEX_DISABLE_SERIALIZATION=1 -Dboost=pycudaboost -Isrc/cpp -Ibpl-subset/bpl_subset "-Ic:\Program Files\NVIDIA GPU Computing Toolk it\CUDA\v4.0\include" -Ic:\Python26\lib\site-packages\numpy\core\include -Ic:\Py thon26\include -Ic:\Python26\PC /Tpbpl-subset/bpl_subset/libs\python\src\object\ function.cpp /Fobuild\temp.win32-2.6\Release\bpl-subset/bpl_subset/libs\python\s rc\object\function.obj /EHsc function.cpp c:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe /c /nologo /Ox /MD /W 3 /GS- /DNDEBUG -DPYGPU_PACKAGE=pycuda -DHAVE_CURAND=1 -DBOOST_PYTHON_SOURCE=1 - 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DPYGPU_PYCUDA=1 -DBOOST_MULTI_INDEX_DISABLE_SERIALIZATION=1 -Dboost=pycudaboost -Isrc/cpp -Ibpl-subset/bpl_subset "-Ic:\Program Files\NVIDIA GPU Computing Toolk it\CUDA\v4.0\include" -Ic:\Python26\lib\site-packages\numpy\core\include -Ic:\Py thon26\include -Ic:\Python26\PC /Tpbpl-subset/bpl_subset/libs\python\src\object\ iterator.cpp /Fobuild\temp.win32-2.6\Release\bpl-subset/bpl_subset/libs\python\s rc\object\iterator.obj /EHsc iterator.cpp c:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe /c /nologo /Ox /MD /W 3 /GS- /DNDEBUG -DPYGPU_PACKAGE=pycuda -DHAVE_CURAND=1 -DBOOST_PYTHON_SOURCE=1 - DPYGPU_PYCUDA=1 -DBOOST_MULTI_INDEX_DISABLE_SERIALIZATION=1 -Dboost=pycudaboost -Isrc/cpp -Ibpl-subset/bpl_subset "-Ic:\Program Files\NVIDIA GPU Computing Toolk it\CUDA\v4.0\include" -Ic:\Python26\lib\site-packages\numpy\core\include -Ic:\Py thon26\include -Ic:\Python26\PC /Tpbpl-subset/bpl_subset/libs\python\src\object\ life_support.cpp /Fobuild\temp.win32-2.6\Release\bpl-subset/bpl_subset/libs\pyth on\src\object\life_support.obj /EHsc life_support.cpp c:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe /c /nologo /Ox /MD /W 3 /GS- /DNDEBUG -DPYGPU_PACKAGE=pycuda -DHAVE_CURAND=1 -DBOOST_PYTHON_SOURCE=1 - DPYGPU_PYCUDA=1 -DBOOST_MULTI_INDEX_DISABLE_SERIALIZATION=1 -Dboost=pycudaboost -Isrc/cpp -Ibpl-subset/bpl_subset "-Ic:\Program Files\NVIDIA GPU Computing Toolk it\CUDA\v4.0\include" -Ic:\Python26\lib\site-packages\numpy\core\include -Ic:\Py thon26\include -Ic:\Python26\PC /Tpbpl-subset/bpl_subset/libs\python\src\object\ pickle_support.cpp /Fobuild\temp.win32-2.6\Release\bpl-subset/bpl_subset/libs\py thon\src\object\pickle_support.obj /EHsc pickle_support.cpp c:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe /c /nologo /Ox /MD /W 3 /GS- /DNDEBUG -DPYGPU_PACKAGE=pycuda -DHAVE_CURAND=1 -DBOOST_PYTHON_SOURCE=1 - DPYGPU_PYCUDA=1 -DBOOST_MULTI_INDEX_DISABLE_SERIALIZATION=1 -Dboost=pycudaboost -Isrc/cpp -Ibpl-subset/bpl_subset "-Ic:\Program Files\NVIDIA GPU Computing Toolk it\CUDA\v4.0\include" -Ic:\Python26\lib\site-packages\numpy\core\include -Ic:\Py thon26\include -Ic:\Python26\PC /Tpbpl-subset/bpl_subset/libs\python\src\object\ stl_iterator.cpp /Fobuild\temp.win32-2.6\Release\bpl-subset/bpl_subset/libs\pyth on\src\object\stl_iterator.obj /EHsc stl_iterator.cpp c:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe /c /nologo /Ox /MD /W 3 /GS- /DNDEBUG -DPYGPU_PACKAGE=pycuda -DHAVE_CURAND=1 -DBOOST_PYTHON_SOURCE=1 - DPYGPU_PYCUDA=1 -DBOOST_MULTI_INDEX_DISABLE_SERIALIZATION=1 -Dboost=pycudaboost -Isrc/cpp -Ibpl-subset/bpl_subset "-Ic:\Program Files\NVIDIA GPU Computing Toolk it\CUDA\v4.0\include" -Ic:\Python26\lib\site-packages\numpy\core\include -Ic:\Py thon26\include -Ic:\Python26\PC /Tpbpl-subset/bpl_subset/libs\thread\src\pthread \once.cpp /Fobuild\temp.win32-2.6\Release\bpl-subset/bpl_subset/libs\thread\src\ pthread\once.obj /EHsc once.cpp bpl-subset/bpl_subset/libs\thread\src\pthread\once.cpp(9) : fatal error C1083: cannot open include file:“pthread.h”: No such file or directory error: command '"c:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe"' fa iled with exit status 2 * And here is my siteconf.py file: BOOST_INC_DIR = ['C:\\Program Files\\boost\\boost_1_38_0\\boost'] BOOST_LIB_DIR = ['C:\\Program Files\boost\\boost_1_38_0\\stage\\lib'] BOOST_COMPILER = 'msvc' USE_SHIPPED_BOOST = True BOOST_PYTHON_LIBNAME = ['boost_python-vc90-mt-1_38'] BOOST_THREAD_LIBNAME = ['boost_thread-vc90-mt-1_38'] CUDA_TRACE = False CUDA_ROOT = 'c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v4.0' CUDA_ENABLE_GL = False CUDA_ENABLE_CURAND = True CUDADRV_LIB_DIR = ['${CUDA_ROOT}\\lib\\Win32'] CUDADRV_LIBNAME = ['cuda'] CUDART_LIB_DIR = ['${CUDA_ROOT}\\lib\\Win32'] CUDART_LIBNAME = ['cudart'] CURAND_LIB_DIR = ['${CUDA_ROOT}\\lib\\Win32'] CURAND_LIBNAME = ['curand'] CXXFLAGS = ['/EHsc'] LDFLAGS = ['/FORCE'] So, that's all. Does anyone have some further ideas? Thanks! CiCi ----- a chinese student -- View this message in context: http://pycuda.2962900.n2.nabble.com/pycuda-Installation-problem-on-windows-… Sent from the PyCuda mailing list archive at Nabble.com.

8 years, 4 months

Re: [PyCUDA] Pycuda with Python(x,y)

by Andreas Kloeckner

On Fri, 24 Feb 2012 11:36:56 -0600, Alexander Pourshalchi <spourshalchi(a)gmail.com> wrote: > I was having trouble installing PyCUDA on my windows 7 machine. I am > running Python (x,y) with numpy, matplotlib and pyqt4 already installed and > I was hoping there was an install version to just add PyCUDA instead of > installing all of the modules I want to use individually. Have you tried using Christoph Gohlke's binaries? http://www.lfd.uci.edu/~gohlke/pythonlibs/ Andreas

8 years, 4 months

Pycuda with Python(x,y)

by Alexander Pourshalchi

I was having trouble installing PyCUDA on my windows 7 machine. I am running Python (x,y) with numpy, matplotlib and pyqt4 already installed and I was hoping there was an install version to just add PyCUDA instead of installing all of the modules I want to use individually. Thanks, Alexander Pourshalchi -- This message contains information that may be privileged or confidential. It is intended only for the person to whom it is addressed. If you are not the intended recipient, you are not authorized to read, print, retain, copy, disseminate, distribute, or use this message or any part thereof. If you receive this message in error, please notify the sender immediately and delete all copies of this message.

8 years, 4 months

setting shared memory size

by Jesse Lu

Hi all, This must be pretty obvious but I haven't been able to find the answer in the documentation... What is the preferred way to set the size of the shared memory of a function using the prepare* interface? I am using 2011.2.2 and receiving the following warning: *DeprecationWarning: setting the shared memory size in Function.prepare is deprecated* Thanks! Jesse

8 years, 4 months

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PyCUDA February 2012