Hi Graham, Graham Mills <[email protected]> writes: > 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?
I'm not sure that's it, as there are tests for DeviceMemoryPool in PyCUDA's test suite [1], and they pass in Python 3. If you could try and put together a minimal reproducer, I'd be happy to take a look. Andreas [1] https://github.com/inducer/pycuda/blob/master/test/test_driver.py#L343
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