Hi all, I've just had success install pycuda with Visual Studio 2015 Community Edition following these instructions.
https://msdn.microsoft.com/en-us/library/dd831853.aspx I started by not installing any add-on or development environments just Visual Studio Then create a Visual C++ project so that the Windows SDK(?) gets installed. I was short on disk space so I was avoiding all cruft. Then amend the system path to find the cl.exe. See the instruction here https://www.ibm.com/developerworks/community/blogs/jfp/entry/Installing_PyCUDA_On_Anaconda_For_Windows?lang=en Note I installed Visual Studio first so that the Cuda installer then picks up that Visual Studio is installed. Cuda 8 support Visual Studio 2015. Then Anaconda for the python environment. Note the additional lib required. conda install libpython mingw https://weiminwang.blog/2015/10/25/installing-cuda-7-5-and-pycuda-on-windows-for-testing-theano-with-gpu/ Then pycuda You'll then find the Nvidia samples have Visual Studio projects that you can begin to tinker with. My experience so far is compiling is much slower on Windows that in Linux - same machine. but that could be my inexperience with Visual Studio or that I'm a little short on disk space (still have 8GB ram though). Perhaps this helps, Chris On 30 March 2017 at 00:35, Peter Walsh <[email protected]> wrote: > CUDA sdk only supports certain specific versions of visual studio. > > Note that Microsoft VC compiler for Python is NOT the same thing as visual > studio! You need both of these installed. > > I suggest you install vs2013 community edition (free). Then try to run the > pure c++ cuda samples. If that all works ok then move on to testing pycuda. > > On 29 March 2017 at 05:19, 张鲁宁 <[email protected]> wrote: > >> I successfully installed pycuda,by install the Microsoft VC compiler for >> python 2.7, but when i executing the test code, it comes out a new error . >> The tarceback is too long to read,I have no clue about it,could anybody >> offer me some help again please? >> >> I dont know how to set the .theanorc.txt, I copied it from net and edit >> it a little,i dont know how to make all these thing rignt, ,intalling cuda >> 7.5 also dont work.... I really need your help,have you met this situation? >> I use vs2010, anaconda 2, use pip intall to install theano and pycuda,Use >> conda install mingw libpython, os is win7 64bit,my gpu is GTX770m,and set >> all the env varible to path,but while using cpu,the code can run >> correctly,but after setting it to gpu, it comes out a lot error. I was so >> depressed，Thank you advance. >> >> >> 1. from theano import function, config, shared, sandbox >> 2. import theano.tensor as T >> 3. import numpy >> 4. import time >> 5. >> 6. vlen = 10 * 30 * 768 # 10 x #cores x # threads per core >> 7. iters = 1000 >> 8. >> 9. rng = numpy.random.RandomState(22) >> 10. x = shared(numpy.asarray(rng.rand(vlen), config.floatX)) >> 11. f = function([], T.exp(x)) >> 12. print f.maker.fgraph.toposort() >> 13. t0 = time.time() >> 14. for i in xrange(iters): >> 15. r = f() >> 16. t1 = time.time() >> 17. print 'Looping %d times took' % iters, t1 - t0, 'seconds' >> 18. print 'Result is', r >> 19. if numpy.any([isinstance(x.op, T.Elemwise) for x in f.maker. >> fgraph.toposort()]): >> 20. print 'Used the cpu' >> 21. else: >> 22. print 'Used the gpu' >> >> >> _______________________________________________ >> PyCUDA mailing list >> [email protected] >> https://lists.tiker.net/listinfo/pycuda >> >> > > _______________________________________________ > PyCUDA mailing list > [email protected] > https://lists.tiker.net/listinfo/pycuda > >
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