Great! Works well. Thanks Christoph! -----Original Message----- From: pycuda-boun...@tiker.net [mailto:pycuda-boun...@tiker.net] On Behalf Of Christoph Gohlke Sent: Thursday, 28 April 2011 6:03 PM To: pycuda@tiker.net Subject: Re: [PyCUDA] Switch off verbose output from PyCUDA
The PyCUDA binary you use was built with CUDAPP_TRACE_CUDA defined. Try the updated installer. Christoph On 4/28/2011 12:09 AM, brett.br...@csiro.au wrote: > Hi > > I seem to have successfully installed PyCUDA on a Windows 7 64bit > machine, Python 2.7.1, CUDA 3.2, PyCUDA 2011.1 using instructions from > Christoph Bussler "Windows 7 64-bit with Visual Studio Professional 2008 > (Strictly Binary Versions)". Problem is... it runs very verbosely, and > hence, slowly. Below is an example output from running the demo.py > script from the PyCUDA source. > > How can I switch off the verbose output? > > Thanks > > Regards > > Brett > > C:\Users\bry074>python > P:\SAF\AICAS\GPU_code_testing\Copy_LinuxGPU\python_scripts\pycuda_demo\demo.py > > > cuInit > > cuDeviceGetCount > > cuDeviceGet > > cuCtxCreate > > cuCtxGetDevice > > cuMemAlloc > > cuMemcpyHtoD > > cuCtxGetDevice > > cuDeviceComputeCapability > > cuModuleLoadDataEx > > cuModuleGetFunction > > cuFuncSetBlockShape (doublify) > > cuParamSetv (doublify) > > cuParamSetSize (doublify) > > cuLaunchGrid (doublify) > > cuMemcpyDtoH > > original array: > > [[-1.85515511 -0.61387902 -0.9409495 0.57415462] > > [ 2.04725552 -0.43586037 1.19255412 -0.46156505] > > [-0.83301312 0.76718497 -0.53578204 0.16794606] > > [-1.24282026 -0.25060421 -0.50485265 -1.50926399]] > > doubled with kernel: > > [[-3.71031022 -1.22775805 -1.881899 1.14830923] > > [ 4.09451103 -0.87172073 2.38510823 -0.9231301 ] > > [-1.66602623 1.53436995 -1.07156408 0.33589211] > > [-2.48564053 -0.50120842 -1.00970531 -3.01852798]] > > cuFuncSetBlockShape (doublify) > > cuMemAlloc > > cuParamSetv (doublify) > > cuParamSetSize (doublify) > > cuMemcpyHtoD > > cuLaunchGrid (doublify) > > cuCtxSynchronize > > cuMemcpyDtoH > > cuMemFree > > doubled with InOut: > > [[-3.71031022 -1.22775805 -1.881899 1.14830923] > > [ 4.09451103 -0.87172073 2.38510823 -0.9231301 ] > > [-1.66602623 1.53436995 -1.07156408 0.33589211] > > [-2.48564053 -0.50120842 -1.00970531 -3.01852798]] > > cuMemAlloc > > cuCtxGetDevice > > cuDeviceGetAttribute > > cuDeviceGetAttribute > > cuDeviceComputeCapability > > cuDeviceGetAttribute > > cuDeviceGetAttribute > > cuDeviceComputeCapability > > cuDeviceComputeCapability > > cuDeviceGetAttribute > > cuMemcpyHtoD > > cuMemFree > > cuMemAlloc > > cuCtxGetDevice > > cuCtxGetDevice > > cuDeviceComputeCapability > > cuModuleLoadDataEx > > cuModuleGetFunction > > cuFuncSetBlockShape (axpb) > > cuParamSetSize (axpb) > > cuFuncSetBlockShape (axpb) > > cuParamSetv (axpb) > > cuLaunchGrid (axpb) > > cuMemcpyDtoH > > cuMemFree > > original array: > > cuMemcpyDtoH > > [[-0.48802722 0.91386962 -0.81973875 0.19833829] > > [ 0.51856601 -0.09402688 -0.48339829 1.20150411] > > [-1.65700185 2.41741824 0.0643658 0.15416692] > > [ 0.3448593 1.04530859 0.03367852 1.69314694]] > > doubled with gpuarray: > > [[-0.97605443 1.82773924 -1.63947749 0.39667657] > > [ 1.03713202 -0.18805376 -0.96679658 2.40300822] > > [-3.31400371 4.83483648 0.12873159 0.30833384] > > [ 0.6897186 2.09061718 0.06735703 3.38629389]] > > cuCtxPopCurrent > > cuCtxPushCurrent > > cuModuleUnload > > cuCtxPopCurrent > > cuCtxPushCurrent > > cuMemFree > > cuCtxPopCurrent > > cuCtxPushCurrent > > cuModuleUnload > > cuCtxPopCurrent > > cuCtxPushCurrent > > cuCtxDetach > > > > _______________________________________________ > PyCUDA mailing list > PyCUDA@tiker.net > http://lists.tiker.net/listinfo/pycuda _______________________________________________ PyCUDA mailing list PyCUDA@tiker.net http://lists.tiker.net/listinfo/pycuda _______________________________________________ PyCUDA mailing list PyCUDA@tiker.net http://lists.tiker.net/listinfo/pycuda
