On Tue, 20 Jul 2010 21:13:25 -0700, Bryan Catanzaro <catan...@eecs.berkeley.edu> wrote: > Hi All - > > I needed to slice a GPUArray and then pass the gpudata of the > resulting slice to a CUDA kernel expecting a pointer. > > The current slicing logic in pycuda.gpuarray.GPUArray calculates the > gpudata of the slice as an integer, which causes problems if I try to > pass it as a pointer to a CUDA Kernel, due to the type mismatch > between int and pointer.
I'm not sure I understand what the mismatch is. If you cast to a numpy.intp, you're guaranteed a pointer-sized integer that will work just fine as a kernel argument. I'm therefore not sure what the problem is. Can you clarify? Andreas
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