Hi,
> I have tried now with the regular .size() calls and setting the leading
> dimensions with .internal_size(). Same error.
This should be either .internal_size1() or .internal_size2().
For dense matrices .internal_size() equals .internal_size1() *
internal_size2().
> The error is reported on line 274 of the clBLAS/src/libary/blas/xgemm.cc
> file. It appears this loop is where it is causing the problem.
>
> for (unsigned int i = 0; i < numKernelArgs; i++) {
> CL_CHECK( clSetKernelArg( clKernel, i, kernelArgSizes[i],
> kernelArgs[i]) )
> }
I can't tell what is going wrong here based on the description provided.
Best regards,
Karli
>
> On Tue, Aug 16, 2016 at 4:33 AM, Karl Rupp <[email protected]
> <mailto:[email protected]>> wrote:
>
> Hi,
>
>
>
> On 08/15/2016 08:56 PM, Charles Determan wrote:
>
> Karl,
>
> I have the OpenCL backend enabled and I have tried:
>
> cl_mem bufA = A.handle().opencl_handle().get()
> cl_mem bufB = B.handle().opencl_handle().get()
> cl_mem bufC = C.handle().opencl_handle().get()
>
> cl_command_queue queue =
> viennacl::ocl::current_context().get_queue().handle().get();
>
> err = clblasDgemm(clblasRowMajor, clblasNoTrans, clblasNoTrans,
> A.internal_size2(),
> B.internal_size1(), A.internal_size1(),
>
>
> Are you sure these sizes are correct? I'd expect that you use
> .size1() and .size2() here, and use the respective .internal_size1()
> and .internal_size2() for the leading dimensions (lda, ldb, ldc).
>
> Best regards,
> Karli
>
>
> alpha, bufA, 0, lda,
> bufB, 0, ldb, beta,
> bufC, 0, ldc,
> 1,
> &queue,
> 0, NULL, 0);
>
>
> Although this compiles it results in the error -
> CL_INVALID_MEM_OBJECT
>
>
> Where (which line) do you get the error?
>
> Best regards,
> Karli
>
> Not sure if you have any other thoughts or if I should try
> asking clBLAS
> developers.
>
> Thanks again,
> Charles
>
> On Mon, Aug 15, 2016 at 1:30 PM, Karl Rupp
> <[email protected] <mailto:[email protected]>
> <mailto:[email protected] <mailto:[email protected]>>>
> wrote:
>
> Hi Charles,
>
> I am trying to verify my interface with clBLAS before going
> completely
> in to clMAGMA. However, I keep getting an OpenCL error
> -38 which
> corresponds to invalid memory (CL_INVALID_MEM_OBJECT)
> when trying a
> clblasDgemm call. This must be referring to the opencl
> memory
> handles I
> am passing in. The fields generally accepts memory
> buffers (cl_mem)
> objects. I have tried passing both
> A.handle.opencl_handle() and
> A.handle.opencl_handle().get() in those fields but get
> the same
> error.
>
>
> These should be A.handle.opencl_handle().get()
> Mind the parantheses after 'handle'.
>
> Also, you will get the error if you don't enable the OpenCL
> backends, or if you enabled the CUDA backend as well (as
> CUDA will
> be the default then).
>
> Best regards,
> Karli
>
>
> I will continue to poke around (maybe I need to use
> internal_size
> numbers) but thought I would ask you about this.
>
> Any insight?
>
> Thanks,
>
> Charles
>
> On Fri, Aug 12, 2016 at 3:21 PM, Charles Determan
> <[email protected] <mailto:[email protected]>
> <mailto:[email protected] <mailto:[email protected]>>
> <mailto:[email protected]
> <mailto:[email protected]> <mailto:[email protected]
> <mailto:[email protected]>>>>
> wrote:
>
> Thanks Karl,
>
> One followup question, what distinguishes handle(),
> handle1(), and
> handle2()? Do they refer to different buffers?
>
> Regards,
> Charles
>
> On Fri, Aug 12, 2016 at 3:13 PM, Karl Rupp
> <[email protected] <mailto:[email protected]>
> <mailto:[email protected] <mailto:[email protected]>>
> <mailto:[email protected]
> <mailto:[email protected]>
> <mailto:[email protected]
> <mailto:[email protected]>>>> wrote:
>
> Hi Charles,
>
> call .handle()/.handle1()/.handle2() to get the
> abstract
> memory
> buffers, and call .opencl_handle() on them to
> get the cl_mem
> handles:
>
> A.handle().opencl_handle()
>
> Similarly, the command queue is obtained with
> viennacl::ocl::get_queue().handle().get()
>
> Unfortunately it's not explicitly written in the
> manual :-/
>
> Best regards,
> Karli
>
>
> On 08/12/2016 09:39 PM, Charles Determan wrote:
>
> I also would need to access the command
> queue handle
> (cl_command_queue)
> object to pass to clBLAS and clMAGMA
> functions. Is
> this easily
> accessible as well?
>
> Thanks,
> Charles
>
> On Fri, Aug 12, 2016 at 11:45 AM, Charles
> Determan
> <[email protected]
> <mailto:[email protected]>
> <mailto:[email protected]
> <mailto:[email protected]>> <mailto:[email protected]
> <mailto:[email protected]>
> <mailto:[email protected]
> <mailto:[email protected]>>>
> <mailto:[email protected]
> <mailto:[email protected]>
> <mailto:[email protected]
> <mailto:[email protected]>>
> <mailto:[email protected]
> <mailto:[email protected]>
> <mailto:[email protected]
> <mailto:[email protected]>>>>> wrote:
>
> Thanks Karl,
>
> I have been looking through the docs and
> I can't
> find an
> example for
> how to pull the OpenCL handles from a
> matrix. I
> saw a
> couple I
> think from a context but not sure that
> is what I
> need.
> Is this in
> the documentation somewhere? The closest I
> could fine
> is this page
>
> (http://viennacl.sourceforge.net/doc/manual-memory.html
> <http://viennacl.sourceforge.net/doc/manual-memory.html>
> <http://viennacl.sourceforge.net/doc/manual-memory.html
> <http://viennacl.sourceforge.net/doc/manual-memory.html>>
>
> <http://viennacl.sourceforge.net/doc/manual-memory.html
> <http://viennacl.sourceforge.net/doc/manual-memory.html>
> <http://viennacl.sourceforge.net/doc/manual-memory.html
> <http://viennacl.sourceforge.net/doc/manual-memory.html>>>
>
> <http://viennacl.sourceforge.net/doc/manual-memory.html
> <http://viennacl.sourceforge.net/doc/manual-memory.html>
> <http://viennacl.sourceforge.net/doc/manual-memory.html
> <http://viennacl.sourceforge.net/doc/manual-memory.html>>
>
> <http://viennacl.sourceforge.net/doc/manual-memory.html
> <http://viennacl.sourceforge.net/doc/manual-memory.html>
> <http://viennacl.sourceforge.net/doc/manual-memory.html
> <http://viennacl.sourceforge.net/doc/manual-memory.html>>>>).
>
> Regards,
> Charles
>
> On Wed, Aug 10, 2016 at 12:09 PM,
> <[email protected] <mailto:[email protected]>
> <mailto:[email protected] <mailto:[email protected]>>
> <mailto:[email protected]
> <mailto:[email protected]>
> <mailto:[email protected]
> <mailto:[email protected]>>>
> <mailto:[email protected]
> <mailto:[email protected]>
> <mailto:[email protected]
> <mailto:[email protected]>>
>
> <mailto:[email protected]
> <mailto:[email protected]>
> <mailto:[email protected]
> <mailto:[email protected]>>>>> wrote:
>
> Hi Charles,
>
>
> I have recently expressed some
> interest
> in different
> factorizations such as
> QR and SVD. I am aware that
> these or
> currently
> experimental
> within
> ViennaCL. Until such a time
> that these
> factorizations are
> fully supported
> (I hope to contribute but the
> algorithms are
> quite complex)
> would it be
> feasible to interface with a
> library like
> clMAGMA? I'm not
> sure of any
> other library offhand that does
> implement these
> methods. I
> thought perhaps
> VexCL but I couldn't find
> anything to that
> effect in the
> documentation.
>
>
> Sure, you can always grab the OpenCL
> handles
> from
> the matrices
> and plug that into clMAGMA.
> I don't think there is any value in
> ViennaCL
> wrapping the
> clMAGMA interfaces, though.
>
> Best regards,
> Karli
>
>
>
>
>
>
>
>
>
>
>
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