PyCUDA June 2010

pycuda@tiker.net

19 participants
18 discussions

by Riccardo Taormina

Hi everybody, I am new on PyCuda. I just installed everything on Windows XP and, from the installation log, I think that I did it properly. However, I tried to run the test files provided with pycuda and I get this error Traceback (most recent call last): File "C:\PyCuda\test\test_gpuarray.py", line 2, in <module> import pycuda.autoinit File "C:\PyCuda\pycuda\autoinit.py", line 1, in <module> import pycuda.driver as cuda File "C:\PyCuda\pycuda\driver.py", line 1, in <module> from _driver import * ImportError: No module named _driver how can I solve it? thanks and sorry for the newbieness of this post den3b _________________________________________________________________ I tuoi amici sempre a portata di clic, sul nuovo Web Messenger http://www.windowslive.it/foto.aspx

10 years, 4 months

64-bit cuda 3.1 on mac?

by Art

Is it now possible to use 64-bit CUDA on Mac OS X 10.6 with pycuda? With CUDA 3.1, I can build and run pycuda tests fine with a 32-bit python, boost. The Nvidia SDK examples default to build as 32-bit and work. But with a 64-bit python and boost, I can build, but almost all tests fail. My siteconfig.py with macports python 2.6 and boost 1.42, pycuda from git, and output of 'python test_driver.py' attached: BOOST_INC_DIR = ['/opt/local/include'] BOOST_LIB_DIR = ['/opt/local/lib'] BOOST_COMPILER = 'gcc42' BOOST_PYTHON_LIBNAME = ['boost_python-mt'] BOOST_THREAD_LIBNAME = ['boost_thread-mt'] CUDA_TRACE = False CUDA_ROOT = '/usr/local/cuda/' CUDA_ENABLE_GL = False CUDADRV_LIB_DIR = [] CUDADRV_LIBNAME = ['cuda'] CXXFLAGS = [] LDFLAGS = ['-L/opt/local/Library/Frameworks/Python.framework/Versions/Current/lib'] CXXFLAGS = ['-arch', 'x86_64', '-m64'] LDFLAGS = ['-arch', 'x86_64', '-m64'] CXXFLAGS.extend(['-isysroot', '/Developer/SDKs/MacOSX10.6.sdk']) LDFLAGS.extend(['-isysroot', '/Developer/SDKs/MacOSX10.6.sdk'])

10 years, 6 months

Re: [PyCUDA] Machine instability with GTX 480 and CUDA/pyCUDA on Win XP?

by Ian Ozsvald

750W - the machine was built specifically as a "higher-end gaming machine" (from a consumer-level PC supplier) - but built for the office for physics simulations. i3 2.9GHz CPU, 4GB RAM, GTX 480 card, no other hardware. The machine is open (has been since Monday evening), I've been measuring temperatures (48 degrees C at idle, 82 degrees C under 95% load for 30 minutes) and nothing seems out of the ordinary. I can run the Nvidia SDK sample programs (e.g. particles, smoke, waves) and as long as they start, the machine is fine. The problem is when one of them freezes upon start-up (just as my pyCUDA programs can freeze on start-up). The machine can be freshly booted and old or having been under stress for an hour, there's no obvious pattern to when it will freeze. I've switched back to my older 9800GT machine which has 197.45 drivers, I'll upgrade that shortly to the latest drivers to see if that causes instability. Right now I'm trying to finish some logical patches for pyCUDA before I'm done with this client for the week. i. On 29 June 2010 14:40, Bryan Catanzaro <bryan.catanzaro(a)gmail.com> wrote: > What kind of power supply do you have? > > - bryan > > On Jun 29, 2010, at 1:43 AM, Ian Ozsvald <ian(a)ianozsvald.com> wrote: > >> Does anyone here successfully run Win XP with a GTX 480 (or 470) with >> CUDA 3.0/3.1? >> >> I upgraded from a 9800GT to the GTX 480 last week (with a whole new >> machine) and the new machine is very unstable, I'm trying to identify >> whether it is a hardware issue or the relatively recent drivers from >> Nvidia. On Friday it hung twice, yesterday it hung 12 times. >> >> By 'hung' I mean that if I run the CUDA test programs (from the SDK) >> then when the program starts - about 1 start in 5 - it'll cause the >> machine to hang. With pyCUDA it seems to occur more frequently (but >> maybe this is due to chance) - it happens for test programs (e.g. >> dump_properties.py, test_gpuarray.py) and my mandelbrot.py demo - all >> programs seem to cause the crash (but only when the program first >> starts, if it runs ok then it'll keep running fine). >> >> I'm hunting around on the web but I'm not finding any similar >> problems. This occurs with the latest NVidia drivers (257.21) and CUDA >> 3.0, also with CUDA 3.1 (in fact the machine seems less stable with >> CUDA 3.1 - I'm about to downgrade to confirm this). >> >> Has anyone seen these kind of symptons before? >> >> Cheers, >> Ian. >> >> -- >> Ian Ozsvald (A.I. researcher, screencaster) >> ian(a)IanOzsvald.com >> >> http://IanOzsvald.com >> http://morconsulting.com/ >> http://TheScreencastingHandbook.com >> http://ProCasts.co.uk/examples.html >> http://twitter.com/ianozsvald >> >> _______________________________________________ >> PyCUDA mailing list >> PyCUDA(a)tiker.net >> http://lists.tiker.net/listinfo/pycuda > -- Ian Ozsvald (A.I. researcher, screencaster) ian(a)IanOzsvald.com http://IanOzsvald.com http://morconsulting.com/ http://TheScreencastingHandbook.com http://ProCasts.co.uk/examples.html http://twitter.com/ianozsvald

10 years, 7 months

Two patches for 0.94RC - removed msvc-breaking warnings, added logical GPUArray comparisons

by Ian Ozsvald

Andreas, I'm attaching two patches. 0001 removes the #warning lines in cuda.hpp that make msvc (2008 on WinxP) fail. 0002 adds GPUArray comparisons for == != < > <= >= Assuming you're cool with the patches I can contribute an updated Mandelbrot.py where a reasonable speed-up is obtained using pure Python/GPUArray(numpy-like) operators rather than having to implement a pure .cu solution. This GPUArray solution sits between a numpy (CPU) speed-up and the pure .cu code version. It'll make for a good demo for pure-Python folk (like my boss). The above is tested on WinXP 32 bit, pyCUDA 0.94 RC (latest), CUDA 3.0 with 9800GT. The original code with Mandelbrot solution was developed on my new (but crashy) WinXP 32 bit box with pyCUDA 0.94 RC (latest), CUDA 3.1 and 480 GTX. i. -- Ian Ozsvald (A.I. researcher, screencaster) ian(a)IanOzsvald.com http://IanOzsvald.com http://morconsulting.com/ http://TheScreencastingHandbook.com http://ProCasts.co.uk/examples.html http://twitter.com/ianozsvald

10 years, 7 months

Announce: PyCULA: Python bindings for CULA

by Louis Theran

A pre-alpha release of PyCULA, which provides support for the CULA port of LAPACK to CUDA is available from: http://math.temple.edu/research/geometry/PyCULA/ The main features are: * ctypes/numpy bindings for the parts of LAPACK supported in CULA * A PyCUDA/GPUArray interface for the CULA device functions * Mixing PyCUDA kernel code with LACPACK calls This is a preview with some rough edges, but it is in a state where it's useful for applications that require LAPACK functionality. ^L -- Louis Theran Research Assistant Professor Math Department, Temple University http://math.temple.edu/~theran/ +1.215.204.3974

10 years, 7 months

64-bit cuda 3.1 on mac? (resent)

by Art

(Resent without attachment - sorry) Is it now possible to use 64-bit CUDA on Mac OS X 10.6 with pycuda? With CUDA 3.1, I can build and run pycuda tests fine with a 32-bit python, boost. The Nvidia SDK examples default to build as 32-bit and work. But with a 64-bit python and boost, I can build, but almost all tests fail. My siteconfig.py with macports python 2.6 and boost 1.42, pycuda from git, and output of 'python test_driver.py' attached (in prior email): BOOST_INC_DIR = ['/opt/local/include'] BOOST_LIB_DIR = ['/opt/local/lib'] BOOST_COMPILER = 'gcc42' BOOST_PYTHON_LIBNAME = ['boost_python-mt'] BOOST_THREAD_LIBNAME = ['boost_thread-mt'] CUDA_TRACE = False CUDA_ROOT = '/usr/local/cuda/' CUDA_ENABLE_GL = False CUDADRV_LIB_DIR = [] CUDADRV_LIBNAME = ['cuda'] CXXFLAGS = [] LDFLAGS = ['-L/opt/local/Library/Frameworks/Python.framework/Versions/Current/lib'] CXXFLAGS = ['-arch', 'x86_64', '-m64'] LDFLAGS = ['-arch', 'x86_64', '-m64'] CXXFLAGS.extend(['-isysroot', '/Developer/SDKs/MacOSX10.6.sdk']) LDFLAGS.extend(['-isysroot', '/Developer/SDKs/MacOSX10.6.sdk'])

10 years, 8 months

Machine instability with GTX 480 and CUDA/pyCUDA on Win XP?

by Ian Ozsvald

Does anyone here successfully run Win XP with a GTX 480 (or 470) with CUDA 3.0/3.1? I upgraded from a 9800GT to the GTX 480 last week (with a whole new machine) and the new machine is very unstable, I'm trying to identify whether it is a hardware issue or the relatively recent drivers from Nvidia. On Friday it hung twice, yesterday it hung 12 times. By 'hung' I mean that if I run the CUDA test programs (from the SDK) then when the program starts - about 1 start in 5 - it'll cause the machine to hang. With pyCUDA it seems to occur more frequently (but maybe this is due to chance) - it happens for test programs (e.g. dump_properties.py, test_gpuarray.py) and my mandelbrot.py demo - all programs seem to cause the crash (but only when the program first starts, if it runs ok then it'll keep running fine). I'm hunting around on the web but I'm not finding any similar problems. This occurs with the latest NVidia drivers (257.21) and CUDA 3.0, also with CUDA 3.1 (in fact the machine seems less stable with CUDA 3.1 - I'm about to downgrade to confirm this). Has anyone seen these kind of symptons before? Cheers, Ian. -- Ian Ozsvald (A.I. researcher, screencaster) ian(a)IanOzsvald.com http://IanOzsvald.com http://morconsulting.com/ http://TheScreencastingHandbook.com http://ProCasts.co.uk/examples.html http://twitter.com/ianozsvald

10 years, 8 months

attaching to an existing context?

by Lev Givon

Is there some way to get PyCUDA to attach to a preexisting context (i.e., one created by some other CUDA-dependent library)? L.G.

10 years, 8 months

cuda.hpp compile failure (and fix) on Windows with MSVC 2008

by Ian Ozsvald

This follows up on the recent report by Vu Nguyen that cuda.hpp breaks with MSVC: > c:\pycuda-0.94rc\src\cpp\cuda.hpp(32) : > fatal error C1021: invalid preprocessor command 'warning' > error: command '"C:\Program Files\Microsoft Visual Studio 9.0\VC\BIN\cl.exe"' > failed with exit status 2 I've just moved to new WinXP machine with a GTX 480 (woot!) card with CUDA 3.0. Upon compilation I hit the same problem. The issue is that: #if (CUDA_VERSION == 3000) in cuda.hpp is now active (before I had CUDA 2.3 IIRC) but MSVC doesn't like the #warning statements, instead it needs: #pragma warning http://msdn.microsoft.com/en-us/library/2c8f766e%28VS.71%29.aspx It looks like the best solution is to use a compiler-specific test: #ifdef _MSC_VER http://www.mobydisk.com/softdev/techinfo/cpptips.html#cpptip3 to switch between a "#pragma warning" block or the original "#warning" block. If anyone knows of a better solution then say now else I'll make a simple patch early next week. i. ps. I've also updated the "Windows Installation" wiki page with updated version info and dependency package names. -- Ian Ozsvald (A.I. researcher, screencaster) ian(a)IanOzsvald.com http://IanOzsvald.com http://morconsulting.com/ http://TheScreencastingHandbook.com http://ProCasts.co.uk/examples.html http://twitter.com/ianozsvald

10 years, 8 months

using CULA device functions with PyCUDA

by gerald wrong

Hi Lev, Yes, we are doing this in my project. We had the same issue as well, and found a workaround. Actually, we have been writing on the mailing list regarding this issue all weekend, and I think you will find some relevant code in my postings (gerald) showing the exact workaround we are using. If you can't find them I can repost, but I think they ought to be in the digest? We are working to finish a python module of the entire CULA package, including device wrappers, and we are using pyCUDA for much of the device wrapper framework. I am hoping to have this ready soon; we are just tightening up a few issues and writing the testing routines now. Best of Luck, Garrett Wright Temple University ~ Mathematics

10 years, 8 months

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PyCUDA June 2010