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
