I'm learning cuda and decided to use python with ctypes to call all the cuda
functions but I'm finding some memory issues. I've boiled it down to the
simplest scenario. I use ctypes to call a cuda function which allocates
memory on the device and then frees it. This works fine, but if I then try
On Wed, Dec 18, 2013 at 3:38 PM, Charles R Harris wrote:
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>
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> On Wed, Dec 18, 2013 at 3:23 PM, Alan G Isaac wrote:
>
>> For teaching it is certainly nice to have
>> numpy.polynomial.polynomial.polyfit
>> providing modern (vs. traditional) parameter order, but
>>
>> - it is rather buried
>> - n
On Wed, Dec 18, 2013 at 3:23 PM, Alan G Isaac wrote:
> For teaching it is certainly nice to have
> numpy.polynomial.polynomial.polyfit
> providing modern (vs. traditional) parameter order, but
>
> - it is rather buried
> - np.polyfit uses traditional order and has the same name
>
> I recall there
For teaching it is certainly nice to have numpy.polynomial.polynomial.polyfit
providing modern (vs. traditional) parameter order, but
- it is rather buried
- np.polyfit uses traditional order and has the same name
I recall there was some controversy (?) over all of this,
but might it not be appro
On Tue, 2013-12-17 at 16:41 +0100, Pierre Haessig wrote:
> Le 13/12/2013 13:45, Sebastian Berg a écrit :
> >> What are the other options for such a repeat ?
> > No, I don't think there are any other options. stride tricks are a bit
> > hidden, since in many cases it is more dangerous than helping.
