Le 20/07/2016 à 07:14, gouarin a écrit :
Le 20/07/2016 à 04:59, Matthew Knepley a écrit :
On Tue, Jul 19, 2016 at 11:12 PM, gouarin <[email protected]
<mailto:[email protected]>> wrote:
I have an other problem: I have to optimize a Python function that
take a numpy array given by the function getVecArray of a DMDA and I
would like to use Pythran to do that. The problem is that Pythran
doesn't recognize the array as a numpy array because the flags
C_CONTIGUOUS and F_CONTIGUOUS are both set to False. Is there a
reason that the C_CONTIGUOUS flag is set to False and not to True ?
For this, can't you just use vec.getArray()?
It's ok if I use vec.getArray().
Finally, it's not exactly the good way because getArray return an 1D
array whereas getVecArray of a DMDA gives an array with the good shape.
So, for the moment, I need to reshape the array given by getArray.
I think that it could be better that getVecArray has the same behaviour
of getArray with the good shape of the DMDA. Do you know what are the
differences between these two functions and why the first one has no
C_CONTIGUOUS flag set to True ?
Thanks,
Loic
Thanks,
Loic
Thanks,
Matt
Best,
Loic
--
What most experimenters take for granted before they begin their
experiments is infinitely more interesting than any results to which
their experiments lead.
-- Norbert Wiener
