Thank you! this is very useful .
To get a little bit more background, we are thinking of enabling Apache
mahout algebra to auto probe for hardware and use ViennaCL-supported
in-memory computations there (not to mention additional solvers are just
great, some of our basic in-memory java-only algebr
Hi,
> One question: you mentioned padding for the `matrix` type. When i
> initialize the `matrix` instance, i only specify dimensions. how do I
> know padding values?
if you want to provide your own padded dimensions, consider using
matrix_base directly. If you want to query the padded dimensio
Hi Dmitriy,
If you have already initialized the matrix I believe you can get the padded
sizes use the respective 'internal' calls.
mat.internal_size1()
mat.internal_size2()
Regards,
Charles
On Tue, Jul 12, 2016 at 11:19 AM, Dmitriy Lyubimov
wrote:
> Thank you, Karl!
>
> Aha, so the fast_copy
Thank you, Karl!
Aha, so the fast_copy looks like something I need.
One question: you mentioned padding for the `matrix` type. When i
initialize the `matrix` instance, i only specify dimensions. how do I know
padding values?
On Tue, Jul 12, 2016 at 5:53 AM, Karl Rupp wrote:
> Hi Dmitriy,
>
> O
Hi Dmitriy,
On 07/12/2016 07:17 AM, Dmitriy Lyubimov wrote:
> Hi,
>
> I am trying to create some elementary wrappers for VCL in javacpp.
>
> Everything goes fine, except i really would rather not use those "cpu"
> types (std::map,
> std::vector) and rather initialize matrices directly by feeding
>
