Hi Nathan,
On Sat, 2 Jul 2011 12:48:08 -0700, Nathan Hillier wrote:
I am currently working my way through the_ CUDA By Example _book,
porting to PyCuda as I go. I've reached the first example that makes
use of a struct. I'm a bit unsure of how to properly deal with this
in
PyCuda. I followed the documentation as best I could, and I wrote a
kernel test out if my wrapper was working correctly. The kernel
executes without error, but fails to alter data in the struct. Code
follows, and is attached for easy viewing in your favorite editor.
First of all, sorry for the long delay in responding. In my opinion,
the right way of dealing with this would be to use numpy record arrays
as Python-side stand-ins for structs. One might even write code to
register their dtypes with PyCUDA, so that array code can work with them
sort of automatically (although it's not clear how useful this latter
bit would be). One useful component would be to have code that
automatically spits out a C struct declaration for a given numpy
dtype--that would minimize redundancy and thereby the chance for
mistakes. In the past, I've cobbled together such a code generator that
used the Python struct module, but I wouldn't recommend that--it was
slow and painful. See code here:
https://github.com/inducer/cgen/blob/master/cgen/__init__.py#L343
Hope this helps,
Andreas
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