Hello,
Testing the gl_interop.py example. See my specs:
[gse...@ccn release]$ ./deviceQuery
CUDA Device Query (Runtime API) version (CUDART static linking)
There is 1 device supporting CUDA
Device 0: "Quadro NVS 135M"
CUDA Capability Major revision number: 1
CUDA Capability Minor revision number: 1
Total amount of global memory: 133496832 bytes
Number of multiprocessors: 1
Number of cores: 8
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 16384 bytes
Total number of registers available per block: 8192
Warp size: 32
Maximum number of threads per block: 512
Maximum sizes of each dimension of a block: 512 x 512 x 64
Maximum sizes of each dimension of a grid: 65535 x 65535 x 1
Maximum memory pitch: 262144 bytes
Texture alignment: 256 bytes
Clock rate: 0.80 GHz
Concurrent copy and execution: Yes
Run time limit on kernels: Yes
Integrated: No
Support host page-locked memory mapping: No
Compute mode: Default (multiple host
threads can use this device simultaneously)
Don't know what is going on really but after I hit "e" the FPS jumps from
~70 to ~1000 :)
Ahh just caught something, the window doesn't like to be maximized without
the CUDA mode on.
[gse...@ccn examples]$ python gl_interop.py
Hit ESC key to quit, 'a' to toggle animation, and 'e' to toggle cuda
Traceback (most recent call last):
File "gl_interop.py", line 134, in display
process_image()
File "gl_interop.py", line 181, in process_image
ctypes.c_void_p(0))
File
"/usr/lib/python2.6/site-packages/PyOpenGL-3.0.0c1-py2.6.egg/OpenGL/error.py",
line 194, in glCheckError
baseOperation = baseOperation,
GLError: GLError(
err = 1282,
description = 'invalid operation',
baseOperation = glReadPixels,
cArguments = (
0,
0,
1440,
848,
GL_BGRA,
GL_UNSIGNED_BYTE,
c_void_p(None),
)
)
Maybe I need a newer PyOpenGL??
On Fri, Jul 31, 2009 at 8:12 AM, Michael Rule <mrule7...@gmail.com> wrote:
> gl_interop :
> is the expected behavior : opens a window which contains nothing (
> random garbage ), which then crashes on attempts to resize ?
>
> has anyone gotten closer to a functioning GL example ( e.g. preparing
> a vertex buffer in CUDA and then using it to render, say, a mesh, for
> accelerated computation of some simple physical simulation ? )
>
>
>
>
> On Tue, Jul 28, 2009 at 4:34 PM, Andreas
> Klöckner<li...@informa.tiker.net> wrote:
> > On Dienstag 28 Juli 2009, you wrote:
> >> I would also like to try to experiment with pycuda openGL,
> >> how do you get the gl_interop example working ? I get the following
> message
> >> :
> >>
> >> "ImportError: PyCUDA was compiled without GL extension support"
> >>
> >> Is compiling pycuda with GL extension documented anywhere ?
> >
> > Add this to your siteconf.py:
> >
> > CUDA_ENABLE_GL = True
> >
> > Anddreas
> >
>
> _______________________________________________
> PyCUDA mailing list
> PyCUDA@tiker.net
> http://tiker.net/mailman/listinfo/pycuda_tiker.net
>
--
Gökhan
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