On Wed, Jan 18, 2012 at 16:14, Malcolm Reynolds
wrote:
>>
>> I suspect that you are obtaining the numpy object (1 Py_INCREF) before
>> you split into multiple threads but releasing them in each thread
>> (multiple Py_DECREFs). This is probably being hidden from you by the
>> boost.python interface
>
> I suspect that you are obtaining the numpy object (1 Py_INCREF) before
> you split into multiple threads but releasing them in each thread
> (multiple Py_DECREFs). This is probably being hidden from you by the
> boost.python interface and/or the boost::detail::sp_counted_impl_p<>
> smart(ish) p
On Wed, Jan 18, 2012 at 14:59, Malcolm Reynolds
wrote:
> Hi,
>
> I've built a system which allocates numpy arrays and processes them in
> C++ code (this is because I'm building a native code module using
> boost.python and it makes sense to use numpy data storage to then deal
> with outputs in pyt
Hi,
I've built a system which allocates numpy arrays and processes them in
C++ code (this is because I'm building a native code module using
boost.python and it makes sense to use numpy data storage to then deal
with outputs in python, without having to do any copying). Everything
seems fine excep
