Hi
consider this code fragment
shape = np.array(gpuarr.shape,dtype=np.int16)
another_gpuarr = gpuarray.zeros(shape, np.uint8)
this code faults at
pycuda/gpuarray.py, line 81
where a call is made to
self.gpudata = self.allocator(self.size * self.dtype.itemsize)
this is because now type(self.size * self.dtype.itemsize) =
np.int64 and not int. This messes up the call to Boost.python
allocate.
I'm sure there are many places where this kind of error happens.
Regards
Nithin
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