On Tue, Oct 2, 2012 at 11:43 AM, Charles R Harris <charlesr.har...@gmail.com
> wrote:

>
>
> On Tue, Oct 2, 2012 at 11:30 AM, Frédéric Bastien <no...@nouiz.org> wrote:
>
>> On Tue, Oct 2, 2012 at 1:18 PM, Charles R Harris
>> <charlesr.har...@gmail.com> wrote:
>> >
>> >
>> > On Tue, Oct 2, 2012 at 9:45 AM, Frédéric Bastien <no...@nouiz.org>
>> wrote:
>> >>
>> >> We implement our own subtensor(x[...], where ... can be index or
>> >> slice) c code due to the way Theano work.
>> >>
>> >> I can probably change the logic, but if you plan to revert this
>> >> interface changes, I prefer to wait for this change we someone else is
>> >> doing other changes that would conflict. Also, I did a Theano release
>> >> candidate and I really would like the final version to work with the
>> >> next release of NumPy.
>> >
>> >
>> > Well, you don't *have* to define NPY_NO_DEPRECATED_API. If you don't
>> you can
>> > access the array as before using the macros even for future versions of
>> > numpy. The only way that could cause a problems is if the array
>> structure is
>> > rearranged and I don't think that will happen anytime soon. On that
>> account
>> > there has not been any discussion of reverting the changes. However, I'd
>> > like f2py generated modules to use the new functions at some point and
>> in
>> > order to do that numpy needs to supply some extra functionality, I'm
>> just
>> > not sure of the best way to do it at the moment. If I had a good idea of
>> > what you want to do it would help in deciding what numpy should provide.
>>
>> I do not define NPY_NO_DEPRECATED_API, so I get g++ warning about
>> that. That is the problem I have.
>>
>> What I do is close to that:
>>
>> alloc a new ndarray that point to the start of the ndarray I want to
>> view with the right number of output dimensions.
>>
>> Compute the new dimensions/strides and data ptr. Then set the data ptr
>> to what I computed. Then set the base ptr.
>>
>> I can reverse this and create the ndarray only at the end, but as this
>> change break existing code here, it can break more code. That is why I
>> wrote to the list.
>>
>> doing "PyArray_BASE(xview) = ptr" work when I don't define
>> NPY_NO_DEPRECATED_API, but do not work when I define
>> NPY_NO_DEPRECATED_API. I would have expected the same for
>> PyArray_BYTES/DATA.
>>
>> Do this explain clearly the problem I saw?
>>
>>
> Yes, thanks. I see in ndarraytypes.h
>
> #define PyArray_DATA(obj) ((void *)(((PyArrayObject_fields *)(obj))->data))
>
> I wonder if the cast to void* is causing a problem? Could you try char*
> instead?
>

Oops, the problem is that you need a pointer to the slot, not the pointer
in the slot. That is, you need a different macro/function.

Chuck
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