On Wed, Jan 8, 2014 at 3:40 PM, Nathaniel Smith wrote:
> On Wed, Jan 8, 2014 at 12:13 PM, Julian Taylor
> wrote:
>> On 18.07.2013 15:36, Nathaniel Smith wrote:
>>> On Wed, Jul 17, 2013 at 5:57 PM, Frédéric Bastien wrote:
On the usefulness of doing only 1 memory allocation, on our old gpu
>
On Wed, Jan 8, 2014 at 12:13 PM, Julian Taylor
wrote:
> On 18.07.2013 15:36, Nathaniel Smith wrote:
>> On Wed, Jul 17, 2013 at 5:57 PM, Frédéric Bastien wrote:
>>> On the usefulness of doing only 1 memory allocation, on our old gpu ndarray,
>>> we where doing 2 alloc on the GPU, one for metadata
On Wed, Jan 8, 2014 at 11:12 AM, Neal Becker wrote:
> I have a 1d vector d. I want compute the means of subsets of this vector.
> The subsets are selected by looking at another vector s or same shape as d.
>
> This can be done as:
>
> [np.mean (d[s == i]) for i in range (size)]
>
> But I think t
I have a 1d vector d. I want compute the means of subsets of this vector.
The subsets are selected by looking at another vector s or same shape as d.
This can be done as:
[np.mean (d[s == i]) for i in range (size)]
But I think this could be done directly with numpy addressing, without resorting
Hi,
As told, I don't think Theano swap the stride buffer. Most of the
time, we allocated with PyArray_empty or zeros. (not sure of the
capitals). The only exception I remember have been changed in the last
release to use PyArray_NewFromDescr(). Before that, we where
allocating the PyArray with the
On 18.07.2013 15:36, Nathaniel Smith wrote:
> On Wed, Jul 17, 2013 at 5:57 PM, Frédéric Bastien wrote:
>> On Wed, Jul 17, 2013 at 10:39 AM, Nathaniel Smith wrote:
On Tue, Jul 16, 2013 at 11:55 AM, Nathaniel Smith wrote:
>>> It's entirely possible I misunderstood, so let's see if we can
