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 <dlie...@gmail.com>
wrote:
> 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 <r...@iue.tuwien.ac.at> wrote:
>
>> 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
>>> row-major or CCS formats.
>>>
>>> I see that matrix () constructor accepts this form of initialization;
>>> but it really states that
>>> it does "wrapping" for the device memory.
>>>
>>
>> Yes, the constructors either create their own memory buffer
>> (zero-initialized) or wrap an existing buffer. These are the only
>> reasonable options.
>>
>>
>> Now, i can create a host matrix() using host memory and row-major
>>> packing. This works ok it seems.
>>>
>>> However, these are still host instances. Can i copy host instances to
>>> instances on opencl context?
>>>
>>
>> Did you look at viennacl::copy() or viennacl::fast_copy()?
>>
>>
>> That might be one way bypassing unnecessary (in my case) complexities of
>>> working with std::vector and std::map classes from java side.
>>>
>>> But it looks like there's no copy() variation that would accept a
>>> matrix-on-host and matrix-on-opencl arguments (or rather, it of course
>>> declares those to be ambiguous since two methods fit).
>>>
>>
>> If you want to copy your OpenCL data into a viennacl::matrix, you may
>> wrap the memory handle (obtained with .elements()) into a vector and copy
>> that. If you have plain host data, use viennacl::fast_copy() and mind the
>> data layout (padding of rows/columns!)
>>
>>
>> For compressed_matrix, there seems to be a set() method, but i guess
>>> this also requires CCS arrays in the device memory if I use it. Same
>>> question, is there a way to send-and-wrap CCS arrays to an opencl device
>>> instance of compressed matrix without using std::map?
>>>
>>
>> Currently you have to use .set() if you want to bypass viennacl::copy()
>> and std::map.
>>
>> I acknowledge that the C++ type system is a pain when interfacing from
>> other languages. We will make this much more convenient in ViennaCL 2.0.
>> The existing interface in ViennaCL 1.x is too hard to fix without breaking
>> lots of user code, so we won't invest time in that (contributions welcome,
>> though :-) )
>>
>> Best regards,
>> Karli
>>
>>
>>
>
>
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