On Dienstag 30 Juni 2009, Michael Rule wrote: > Ok, fixed that ( needed to use "uint" not "uint32". Numpy basic types > don't seem to be anywhere near the surface of Google and are hard to > find ). I now have another related question : > > the documentation for the pycuda prepare function states > "setting up the argument types as arg_types. arg_types is expected to > be an iterable containing type characters understood by the struct > module or numpy.dtype objects." > > Since I am still baffled by numpy datatypes ( which definitely don't > seem to include pointers), how do I tell CUDA that "this is a pointer > to a float" and "this is a pointer to an integer" using this function > ?
numpy.intp = pointer-sized integer. There's no checking of the pointed-to type as yet. Would you mind adding FAQ items for these two? http://wiki.tiker.net/PyCuda/FrequentlyAskedQuestions Andreas
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