<#part sign=pgpmime>
On Tue, 6 Mar 2012 14:49:13 +0100, Sqoox85 <sqoo...@gmail.com> wrote:
> Hi all,
>
> I need a suggestion to allocate a particular struct of pointers of
> functions used as VTable.
> The idea is to get some polymorphism property in CUDA and the
> implementation works well with it.
> The problem is to adapt the code with pyCUDA because I don't know how
> to get a pointer of a function.
> I would know how it's possible to allocate a struct and copy a function
> pointer
> into it. Here a simple example:
> --------------------------------------------------------------------------------------------
> typedef struct _cuobject cuObject;
>
> //pointers to function
> typedef int (*comparefunc)(const cuObject*, const cuObject*, int);
>
>
> typedef struct _cutype{
> comparefunc compare;
> } cuType;
>
> __host__ __device__ int object_compare(const cuObject* a, const
> cuObject* b, int op){
> return -1;
> }
> -------------------------------------------------------------------------------------------------------
>
>
>
> I would do something like this but in pyCuda with mem_alloc and mem_cpy:
>
> -----------------------------------------------------------------------------
> cuType cuobjecttype = {
> object_compare,
> };
> -----------------------------------------------------------------------------
> In this way I associate the function "object_compare" to the struct.
> The way to do so in pyCuda could be:
>
> ptr = cuda.mem_alloc(np.intp(0).nbytes) // allocate for
> cuType
> cuda.memcpy_htod_async(ptr, np.int32(0)) // <- how to
> specify the function pointer named "object_compare"??? O.o
Hi Filippo,
there's no way to meaningfully copy a function pointer from host to
device. You either have to statically initialize that pointer in code
or set it at runtime from your kernel.
Andreas
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