Hi,
I am attempting to use a memory pool for some gpu array calculations, using
PyCUDA 2013.1 with python 3.x and CUDA 5.5. The trouble is I can't find an
appropriate integer type with which to call .allocate on a DeviceMemoryPool
object. All numpy integers as well as the native python integer return the
error:
Boost.Python.ArgumentError: Python argument types in
DeviceMemoryPool.allocate(numpy.uint32)
did not match C++ signature:
allocate(boost::shared_ptr<(anonymous
namespace)::context_dependent_memory_pool<(anonymous
namespace)::device_allocator> >, unsigned long)
I'm not entirely clear yet on how the device memory pool works; am I doing
something wrong? Does the associated boost module not work with the unified
python 3 integer type?
Thanks,
Graham
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