That is interesting. This is only a hunch and probably wrong.
What brand is the AGP card that doesn't have a display? Chances are that the
OpenCL driver detects that there are two NVidia cards on the system and when
you try to create a context it realizes that one of them cannot possibly
support OpenCL because it's too old.
Possibly we could modify pyopencl so that if there are multiple devices in a
platform and the context creation fails it could try creating the context on
a different device (in the same platform).
On Fri, Feb 5, 2010 at 4:58 PM, Sven Schreiber <svetosch(a)gmx.net> wrote:
Andreas Klöckner schrieb:
thanks for the quick reply!
On Freitag 05 Februar 2010, Sven Schreiber wrote:
I'm new to pyopencl as well as to OpenCL in
general. Not surprisingly, I
got to a point where I'm stuck.
The error: Whenever I run any of the example files, I get:
Traceback (most recent call last):
File "examples/demo.py", line 8, in <module>
ctx = cl.create_some_context()
line 275, in create_some_context
pyopencl.RuntimeError: Context failed: out of resources
As I said, this is where I'm stuck. Any ideas?
Weird--never seen such an error. Can you try and run a pure-C CL
example (such as the ones shipped by Nvidia) and see if that works?
I'll try -- but it'll probably take a while as I'm facing some other
deadlines right now. But I will report back eventually ( != German
"eventuell" which it occurs to me otherwise you might interpret it in
this false-friend kind of way).
And while I'm at it, another question: Does
pyopencl have something like
the gpuarray thing that I read about in pycuda?
Not yet--but if you're just getting your feet wet, porting that code to
CL would make a nice introductory exercise. Patches welcome. :)
well I'm sorry but I don't really speak C which I suppose is what you
mean. That's why pyopencl (and also pycuda) look so great to me.
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